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ORCIDIEEE Transactions on Medical Imaging, Volume 42
Volume 42, Number 1, January 2023
- Nick Byrne
, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King:
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. 3-14 - Pan Huang, Peng He, Sukun Tian, Mingrui Ma, Peng Feng, Hualiang Xiao, Francesco Mercaldo, Antonella Santone, Jing Qin:
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. 15-28 - Robert Twyman, Simon R. Arridge, Zeljko Kereta, Bangti Jin, Ludovica Brusaferri, Sangtae Ahn, Charles W. Stearns, Brian F. Hutton, Irene A. Burger, Fotis Kotasidis, Kris Thielemans:
An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. 29-41 - Suvadip Mukherjee, Rituparna Sarkar, Maria Manich, Elisabeth Labruyère, Jean-Christophe Olivo-Marin:
Domain Adapted Multitask Learning for Segmenting Amoeboid Cells in Microscopy. 42-54 - Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu:
Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity. 55-65 - Sun Zheng, Du Jiejie, Yao Yue, Meng Qi, Sun Huifeng:
A Deep Learning Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence. 66-78 - Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu:
One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI. 79-90 - Ruifeng Zheng, Ying Zhong, Senxiang Yan, Hongcheng Sun, Haibin Shen, Kejie Huang:
MsVRL: Self-Supervised Multiscale Visual Representation Learning via Cross-Level Consistency for Medical Image Segmentation. 91-102 - Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
TNN: Tree Neural Network for Airway Anatomical Labeling. 103-118 - Guanghui Yue, Peishan Wei, Tianwei Zhou, Qiuping Jiang, Weiqing Yan, Tianfu Wang:
Toward Multicenter Skin Lesion Classification Using Deep Neural Network With Adaptively Weighted Balance Loss. 119-131 - Zhaoyan Xiu, Mark Muzi, Jian Huang, Eric Wolsztynski:
Patient-Adaptive Population-Based Modeling of Arterial Input Functions. 132-147 - Xiaodan Wei, Qinghao Liu, Min Liu, Yaonan Wang, Erik Meijering:
3D Soma Detection in Large-Scale Whole Brain Images via a Two-Stage Neural Network. 148-157 - Yanis Djebra, Thibault Marin, Paul K. Han, Isabelle Bloch, Georges El Fakhri, Chao Ma:
Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling. 158-169 - Ko-Kung Chen, Chung-Jung Lin, Wei-Fa Chu:
Dispersion of Heterogeneous Medium in Pulsatile Blood Flow and Absolute Pulsatile Flow Velocity Quantification. 170-182 - Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. 183-195 - Sekeun Kim, Zhenxiang Jiang, Byron A. Zambrano, Yeonggul Jang, Seungik Baek, Sun K. Yoo, Hyuk-Jae Chang:
Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. 196-208 - Wen Shi, Haoan Xu, Cong Sun, Jiwei Sun, Yamin Li, Xinyi Xu, Tianshu Zheng, Yi Zhang, Guangbin Wang, Dan Wu:
AFFIRM: Affinity Fusion-Based Framework for Iteratively Random Motion Correction of Multi-Slice Fetal Brain MRI. 209-219 - Manuel Viermetz, Nikolai Gustschin, Clemens Schmid, Jakob Haeusele, Peter B. Noël, Roland Proksa, Stefan Löscher, Thomas Koehler, Franz Pfeiffer:
Technical Design Considerations of a Human-Scale Talbot-Lau Interferometer for Dark-Field CT. 220-232 - Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia:
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation. 233-244 - Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. 245-256 - Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling. 257-267 - Yuan Fang, Kazem Bakian-Dogaheh, Mahta Moghaddam:
Real-Time 3D Microwave Medical Imaging With Enhanced Variational Born Iterative Method. 268-280 - Lucia Hradecká, David Wiesner, Jakub Sumbal, Zuzana Sumbalova Koledova, Martin Maska:
Segmentation and Tracking of Mammary Epithelial Organoids in Brightfield Microscopy. 281-290 - Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung:
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI. 291-303 - Yi Chen, Yang Dong, Lu Si, Wenming Yang, Shan Du, Xuewu Tian, Chao Li, Qingmin Liao, Hui Ma:
Dual Polarization Modality Fusion Network for Assisting Pathological Diagnosis. 304-316 - Le Yi, Lei Zhang, Xiuyuan Xu, Jixiang Guo:
Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories. 317-328 - Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, Shuo Li:
Corrections to "Image Projection Network: 3D to 2D Image Segmentation in OCTA Images". 329
Volume 42, Number 2, February 2023
- Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi:
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. 332-335 - Lei Ma, Deqiang Xiao, Daeseung Kim, Chunfeng Lian, Tianshu Kuang, Qin Liu, Hannah H. Deng, Erkun Yang, Michael A. K. Liebschner, Jaime Gateno, James J. Xia, Pew-Thian Yap:
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. 336-345 - Cheng Chen, Kangneng Zhou, Zhiliang Wang, Ruoxiu Xiao:
Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From TOF-MRA. 346-353 - Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei:
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. 354-367 - Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. 368-379 - Xiaofan Song, Jun Li, Xiaohua Qian:
Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. 380-390 - Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li:
GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis. 391-402 - Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. 403-415 - Yanda Meng, Hongrun Zhang, Yitian Zhao, Dongxu Gao, Barbra Hamill, Godhuli Patri, Tunde Peto, Savita Madhusudhan, Yalin Zheng:
Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks. 416-429 - Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. 430-443 - Hao Zhang, Ran Song, Liping Wang, Lin Zhang, Dawei Wang, Cong Wang, Wei Zhang:
Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks. 444-455 - Hongjie Cai, Yue Gao, Manhua Liu:
Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation. 456-466 - Zuozhu Liu, Xiaoxuan He, Hualiang Wang, Huimin Xiong, Yan Zhang, Gaoang Wang, Jin Hao, Yang Feng, Fudong Zhu, Haoji Hu:
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. 467-480 - Xiayu Xu, Peiwei Yang, Hualin Wang, Zhanfeng Xiao, Gang Xing, Xiulan Zhang, Wei Wang, Feng Xu, Jiong Zhang, Jianqin Lei:
AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in OCT Angiography. 481-492 - Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. 493-506 - Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang:
GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection. 507-518 - Jisi Tang, Qing Zhou, Yuan Huang:
Self-Supervised Learning for Non-Rigid Registration Between Near-Isometric 3D Surfaces in Medical Imaging. 519-532 - Fanwei Kong, Shawn C. Shadden:
Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations. 533-545 - Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante:
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. 546-556 - Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen:
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. 557-567
Volume 42, Number 3, March 2023
- Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening. 570-581 - Shumeng Li, Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation. 582-593 - Jingkun Chen, Jianguo Zhang, Kurt Debattista, Jungong Han:
Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency. 594-605 - Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong:
aiWave: Volumetric Image Compression With 3-D Trained Affine Wavelet-Like Transform. 606-618 - Zihao Liu, Ruiqin Xiong, Tingting Jiang:
CI-Net: Clinical-Inspired Network for Automated Skin Lesion Recognition. 619-632 - Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. 633-646 - Jingyan Xu, Frédéric Noo:
Linearized Analysis of Noise and Resolution for DL-Based Image Generation. 647-660 - Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Graph Node Based Interpretability Guided Sample Selection for Active Learning. 661-673 - Feng Cheng, Yilin Liu, Yong Chen, Pew-Thian Yap:
High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network. 674-683 - Karen Andrea Lara Hernandez, Theresa Rienmüller, Ivan Alexander Juárez, Michaelle Alexander Perez Riz, Favio Reyna, Daniela Baumgartner, Vladimir N. Makarenko, Olga L. Bockeria, Musaffar F. Maksudov, Rainer Rienmüller, Christian Baumgartner:
Deep Learning-Based Image Registration in Dynamic Myocardial Perfusion CT Imaging. 684-696 - Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. 697-712 - Dehui Xiang, Shenshen Yan, Ying Guan, Mulin Cai, Zheqing Li, Haiyun Liu, Xinjian Chen, Bei Tian:
Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation. 713-725 - Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast. 726-738 - Jinbum Kang, Chiao Huang, Charles Perkins, Alexander M. Alvarez, Leonid A. Kunyansky, Russell S. Witte, Matthew O'Donnell:
Current Source Density Imaging Using Regularized Inversion of Acoustoelectric Signals. 739-749 - Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. 750-761 - Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan:
Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. 762-773 - Clemens Schmid, Manuel Viermetz, Nikolai Gustschin, Wolfgang Noichl, Jakob Haeusele, Tobias Lasser, Thomas Koehler, Franz Pfeiffer:
Modeling Vibrations of a Tiled Talbot-Lau Interferometer on a Clinical CT. 774-784 - Siqi Li, Kuang Gong, Ramsey D. Badawi, Edward J. Kim, Jinyi Qi, Guobao Wang:
Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction. 785-796 - Fei Lyu, Mang Ye, Jonathan Frederik Carlsen, Kenny Erleben, Sune Darkner, Pong C. Yuen:
Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation. 797-809 - Lucilio Cordero-Grande, Juan Enrique Ortuño Fisac, Alejandra Aguado del Hoyo, Alena Uus, Maria Deprez, Andrés Santos, Joseph V. Hajnal, María J. Ledesma-Carbayo:
Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration. 810-822 - Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt:
Meta-Learning Initializations for Interactive Medical Image Registration. 823-833 - Weikang Gong, Song Bai, Ying-Qiu Zheng, Stephen M. Smith, Christian F. Beckmann:
Supervised Phenotype Discovery From Multimodal Brain Imaging. 834-849 - Zexin Lu, Wenjun Xia, Yongqiang Huang, Mingzheng Hou, Hu Chen, Jiliu Zhou, Hongming Shan, Yi Zhang:
M3NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising. 850-863 - Hongwei Zhang, Zhifan Gao, Dong Zhang, William Kongto Hau, Heye Zhang:
Progressive Perception Learning for Main Coronary Segmentation in X-Ray Angiography. 864-879 - Mohsin Challoob, Yongsheng Gao, Andrew Busch, Mohammad Nikzad:
Separable Paravector Orientation Tensors for Enhancing Retinal Vessels. 880-893
Volume 42, Number 4, April 2023
- Benjamin Aubert, Thierry Cresson, Jacques A. de Guise, Carlos Vázquez:
X-Ray to DRR Images Translation for Efficient Multiple Objects Similarity Measures in Deformable Model 3D/2D Registration. 897-909 - Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang:
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. 910-921 - Hyungjin Chung, Eun Sun Lee, Jong Chul Ye:
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. 922-934 - Jian Shi, Baoli Sun, Xinchen Ye, Zhihui Wang, Xiaolong Luo, Jin Liu, Heli Gao, Haojie Li:
Semantic Decomposition Network With Contrastive and Structural Constraints for Dental Plaque Segmentation. 935-946 - Wei Lou, Haofeng Li, Guanbin Li, Xiaoguang Han, Xiang Wan:
Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework. 947-958 - Cher Bass, Mariana da Silva, Carole H. Sudre, Logan Z. J. Williams, Helena S. Sousa, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson:
ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. 959-970 - Erdi Calli, Bram van Ginneken, Ecem Sogancioglu, Keelin Murphy:
FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network. 971-981 - Shashank Subramanian, Ali Ghafouri, Klaudius Matthias Scheufele, Naveen Himthani, Christos Davatzikos, George Biros:
Ensemble Inversion for Brain Tumor Growth Models With Mass Effect. 982-995 - Zheling Meng, Yangyang Zhu, Wenjing Pang, Jie Tian, Fang Nie, Kun Wang:
MSMFN: An Ultrasound Based Multi-Step Modality Fusion Network for Identifying the Histologic Subtypes of Metastatic Cervical Lymphadenopathy. 996-1008 - Michael Niederleithner, Luis de Sisternes, Heiko Stino, Aleksandra Sedova, Thomas Schlegl, Homayoun Bagherinia, Anja Britten, Philipp Matten, Ursula Schmidt-Erfurth, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Ultra-Widefield OCT Angiography. 1009-1020 - Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-Based Landmark Localization. 1021-1034 - Manuel Viermetz, Nikolai Gustschin, Clemens Schmid, Jakob Haeusele, Bernhard Gleich, Bernhard Renger, Thomas Koehler, Franz Pfeiffer:
Initial Characterization of Dark-Field CT on a Clinical Gantry. 1035-1045 - Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian, Chunfeng Lian:
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy. 1046-1055 - Kai Riemer, Matthieu Toulemonde, Jipeng Yan, Marcelo Lerendegui, Eleanor Stride, Peter D. Weinberg, Christopher Dunsby, Meng-Xing Tang:
Fast and Selective Super-Resolution Ultrasound In Vivo With Acoustically Activated Nanodroplets. 1056-1067 - Liang Han, Hang Su, Zhaozheng Yin:
Phase Contrast Image Restoration by Formulating Its Imaging Principle and Reversing the Formulation With Deep Neural Networks. 1068-1082 - Ruhan Liu, Tianqin Wang, Huating Li, Ping Zhang, Jing Li, Xiaokang Yang, Dinggang Shen, Bin Sheng:
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. 1083-1094 - Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert:
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. 1095-1106 - Zhijin Li, Ann-Katherine Carton, Serge Muller, Thomas Almecija, Pablo Milioni de Carvalho, Agnès Desolneux:
A 3D Mathematical Breast Texture Model With Parameters Automatically Inferred From Clinical Breast CT Images. 1107-1120 - Konrad Scheffler, Marija Boberg, Tobias Knopp:
Extrapolation of System Matrices in Magnetic Particle Imaging. 1121-1132 - Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, Mathews Jacob:
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. 1133-1144 - Jinbo Shen, Mengting Luo, Han Liu, Peixi Liao, Hu Chen, Yi Zhang:
MLF-IOSC: Multi-Level Fusion Network With Independent Operation Search Cell for Low-Dose CT Denoising. 1145-1158 - Wenxuan Zou, Xingqun Qi, Wanting Zhou, Muyi Sun, Zhenan Sun, Caifeng Shan:
Graph Flow: Cross-Layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation. 1159-1171 - Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan D. H. Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes:
PocketNet: A Smaller Neural Network for Medical Image Analysis. 1172-1184 - Yuchen Du, Lisheng Wang, Deyu Meng, Benzhi Chen, Chengyang An, Hao Liu, Weiping Liu, Yupeng Xu, Ying Fan, Dagan Feng, Xiuying Wang, Xun Xu:
Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection. 1185-1196 - Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang:
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. 1197-1209 - Peng Hu, Lei Li, Lihong V. Wang:
Location-Dependent Spatiotemporal Antialiasing in Photoacoustic Computed Tomography. 1210-1224 - Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen:
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. 1225-1236
Volume 42, Number 5, May 2023
- Jianye Pang, Cheng Jiang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao:
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume. 1241-1253 - Johan Nuyts, Michel Defrise, Stefan Gundacker, Emilie Roncali, Paul Lecoq:
The SNR of Positron Emission Data With Gaussian and Non-Gaussian Time-of-Flight Kernels, With Application to Prompt Photon Coincidence. 1254-1264 - Tao Lei, Dong Zhang, Xiaogang Du, Xuan Wang, Yong Wan, Asoke K. Nandi:
Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network. 1265-1277 - Yanming Zhu, Xuefei Yin, Erik Meijering:
A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation. 1278-1288 - Gongping Chen, Lei Li, Yu Dai, Jianxun Zhang, Moi Hoon Yap:
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images. 1289-1300 - Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. 1301-1313 - Chuanpeng Wu, Liang Li:
First Demonstration of Compton Camera Used for X-Ray Fluorescence Imaging. 1314-1324 - Huidong Xie, Zhao Liu, Luyao Shi, Kathleen Greco, Xiongchao Chen, Bo Zhou, Attila Feher, John C. Stendahl, Nabil Boutagy, Tassos C. Kyriakides, Ge Wang, Albert J. Sinusas, Chi Liu:
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network. 1325-1336 - Zhonghang Zhu, Lequan Yu, Wei Wu, Rongshan Yu, Defu Zhang, Liansheng Wang:
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification. 1337-1348 - Da He, Jiasheng Zhou, Xiaoyu Shang, Xingye Tang, Jiajia Luo, Sung-Liang Chen:
De-Noising of Photoacoustic Microscopy Images by Attentive Generative Adversarial Network. 1349-1362 - Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. 1363-1373 - Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, H. Christian M. Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker:
Free-Breathing Liver Fat, R₂* and B₀ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-Based Reconstruction. 1374-1387 - Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu:
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. 1388-1400 - Lei Fan, Arcot Sowmya, Erik Meijering, Yang Song:
Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency. 1401-1412 - Reza Rasti, Armin Biglari, Mohammad Rezapourian, Ziyun Yang, Sina Farsiu:
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation. 1413-1423 - Suk-Min Hong, Chang-Hoon Choi, N. Jon Shah, Jörg Felder:
Design of a Folded, Double-Tuned Loop Coil for ¹H/X-Nuclei MRI Applications. 1424-1430 - Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Data Discernment for Affordable Training in Medical Image Segmentation. 1431-1445 - Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng:
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos. 1446-1461 - Ali Kafaei Zad Tehrani, Md Ashikuzzaman, Hassan Rivaz:
Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography. 1462-1471 - Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang:
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. 1472-1483 - Xiaohong Huang, Zhifang Deng, Dandan Li, Xueguang Yuan, Ying Fu:
MISSFormer: An Effective Transformer for 2D Medical Image Segmentation. 1484-1494 - Pengfei Yang, Xin Ge, Tiffany Tsui, Xiaokun Liang, Yaoqin Xie, Zhanli Hu, Tianye Niu:
Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning. 1495-1508 - Dong-Xu Zhang, Yang Yan, Yulin Huang, Bowen Liu, Qing-Bing Zheng, Jun Zhang, Ning-Shao Xia:
Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional Autoencoder and K-Means++. 1509-1521 - Frank Ong, Zheng Zhong, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly:
SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. 1522-1531 - Bo Liu, Li-Ming Zhan, Li Xu, Xiao-Ming Wu:
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning. 1532-1545 - Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen:
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. 1546-1562 - D. Vijay Anand, Moo K. Chung:
Hodge Laplacian of Brain Networks. 1563-1573
Volume 42, Number 6, June 2023
- Hanzhi Wang, Matthias Sebastian Treder, David Marshall, Derek K. Jones, Yuhua Li:
A Skewed Loss Function for Correcting Predictive Bias in Brain Age Prediction. 1577-1589 - Chuang Niu, Mengzhou Li, Fenglei Fan, Weiwen Wu, Xiaodong Guo, Qing Lyu, Ge Wang:
Noise Suppression With Similarity-Based Self-Supervised Deep Learning. 1590-1602 - Liset Vázquez Romaguera, Stephanie Alley, Jean-François Carrier, Samuel Kadoury:
Conditional-Based Transformer Network With Learnable Queries for 4D Deformation Forecasting and Tracking. 1603-1618 - Huisi Wu, Xiaoting Huang, Xinrong Guo, Zhenkun Wen, Jing Qin:
Cross-Image Dependency Modeling for Breast Ultrasound Segmentation. 1619-1631 - Meilu Zhu, Zhen Chen, Yixuan Yuan:
FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting. 1632-1643 - Zheyuan Yi, Jiahao Hu, Yujiao Zhao, Linfang Xiao, Yilong Liu, Alex T. L. Leong, Fei Chen, Ed X. Wu:
Fast and Calibrationless Low-Rank Parallel Imaging Reconstruction Through Unrolled Deep Learning Estimation of Multi-Channel Spatial Support Maps. 1644-1655 - Xinyue Li, Rui Guo, Jing Lu, Tao Chen, Xiaohua Qian:
Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography. 1656-1667 - Huisi Wu, Canfeng Lin, Jiasheng Liu, Youyi Song, Zhenkun Wen, Jing Qin:
Feature Masking on Non-Overlapping Regions for Detecting Dense Cells in Blood Smear Image. 1668-1680 - Thomas A. Leatham, David M. Paganin, Kaye S. Morgan:
X-Ray Dark-Field and Phase Retrieval Without Optics, via the Fokker-Planck Equation. 1681-1695 - Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zhenhui Li, Zaiyi Liu, Ying Wang, Changhong Liang:
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. 1696-1706 - Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. 1707-1719 - Chaowei Fang, Qian Wang, Lechao Cheng, Zhifan Gao, Chengwei Pan, Zhen Cao, Zhaohui Zheng, Dingwen Zhang:
Reliable Mutual Distillation for Medical Image Segmentation Under Imperfect Annotations. 1720-1734 - Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers. 1735-1745 - Suman Mahapatra, Pradipta Maji:
Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images. 1746-1757 - Shunjie Dong, Zixuan Pan, Yu Fu, Dongwei Xu, Kuangyu Shi, Qianqian Yang, Yiyu Shi, Cheng Zhuo:
Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation. 1758-1773 - Junlin Xian, Xiang Li, Dandan Tu, Senhua Zhu, Changzheng Zhang, Xiaowu Liu, Xin Li, Xin Yang:
Unsupervised Cross-Modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation. 1774-1785 - Shiyao Guo, Yuxia Sheng, Li Chai, Jingxin Zhang:
PET Image Reconstruction With Kernel and Kernel Space Composite Regularizer. 1786-1798 - Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. 1799-1808 - Jin-Gang Yu, Zihao Wu, Yu Ming, Shule Deng, Qihang Wu, Zhongtang Xiong, Tianyou Yu, Gui-Song Xia, Qingping Jiang, Yuanqing Li:
Bayesian Collaborative Learning for Whole-Slide Image Classification. 1809-1821 - Kibo Ote, Fumio Hashimoto, Yuya Onishi, Takashi Isobe, Yasuomi Ouchi:
List-Mode PET Image Reconstruction Using Deep Image Prior. 1822-1834 - Shaojie Chang, Yongfeng Gao, Marc Jason Pomeroy, Ti Bai, Hao Zhang, Siming Lu, Perry J. Pickhardt, Amit Gupta, Michael Reiter, Elaine S. Gould, Zhengrong Liang:
Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain. 1835-1845 - Ke Li, Joshua Ray Chen, Mang Feng:
Construction of a Nearly Unbiased Statistical Estimator of Sinogram to Address CT Number Bias Issues in Low-Dose Photon Counting CT. 1846-1858 - Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. 1859-1874 - Xiaoyan Hu, Ling-Xiao Zhang, Lin Gao, Weiwei Dai, Xiaoguang Han, Yu-Kun Lai, Yiqiang Chen:
GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images. 1875-1884 - Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker:
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. 1885-1896 - Xinpeng Ding, Xinjian Yan, Zixun Wang, Wei Zhao, Jian Zhuang, Xiaowei Xu, Xiaomeng Li:
Less Is More: Surgical Phase Recognition From Timestamp Supervision. 1897-1910
Volume 42, Number 7, July 2023
- Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li:
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. 1914-1919 - Hasan Kassem, Deepak Alapatt, Pietro Mascagni, Alexandros Karargyris, Nicolas Padoy:
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. 1920-1931 - Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou:
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. 1932-1943 - Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Federated Partially Supervised Learning With Limited Decentralized Medical Images. 1944-1954 - Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng:
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. 1955-1968 - Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke:
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. 1969-1981 - Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. 1982-1995 - Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur:
Federated Learning of Generative Image Priors for MRI Reconstruction. 1996-2009 - Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. 2010-2021 - Zeynep Gürler, Islem Rekik:
Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions. 2022-2031 - Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li:
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction. 2032-2043 - Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? 2044-2056 - Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Federated Learning With Privacy-Preserving Ensemble Attention Distillation. 2057-2067 - Xing Wu, Jie Pei, Cheng Chen, Yimin Zhu, Jianjia Wang, Quan Qian, Jian Zhang, Qun Sun, Yike Guo:
Federated Active Learning for Multicenter Collaborative Disease Diagnosis. 2068-2080 - Yangsibo Huang, Chun-Yin Huang, Xiaoxiao Li, Kai Li:
A Dataset Auditing Method for Collaboratively Trained Machine Learning Models. 2081-2090 - Sangjoon Park, Jong Chul Ye:
Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation. 2091-2105 - Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou:
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. 2106-2117 - Zheyao Gao, Fuping Wu, Weiguo Gao, Xiahai Zhuang:
A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation. 2118-2129
Volume 42, Number 8, August 2023
- Muge Du, Kaichao Liang, Li Zhang, Hewei Gao, Yinong Liu, Yuxiang Xing:
Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images. 2133-2145 - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation. 2146-2161 - Shenglong Zhou, Bo Hu, Zhiwei Xiong, Feng Wu:
Self-Distilled Hierarchical Network for Unsupervised Deformable Image Registration. 2162-2175 - Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein:
A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. 2176-2188 - Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework. 2189-2199 - Qiushi Yang, Zhen Chen, Yixuan Yuan:
Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification. 2200-2210 - Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See:
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. 2211-2222 - Nikan Fakhari, Julien Aguet, Minh Nguyen, Luc Mertens, David J. Barron, Christoph Haller, John G. Sled, Olivier Villemain, Jerome Baranger:
Longitudinal Assessment of Cerebral Blood Volume Variation in Human Neonates Using Ultrafast Power Doppler and Diverging Waves. 2223-2234 - Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang:
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation. 2235-2246 - Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu:
Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART). 2247-2261 - Zhongyu Huang, Changde Du, Yingheng Wang, Kaicheng Fu, Huiguang He:
Graph-Enhanced Emotion Neural Decoding. 2262-2273 - Xiang Li, Songcen Lv, Minglei Li, Jiusi Zhang, Yuchen Jiang, Yong Qin, Hao Luo, Shen Yin:
SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization. 2274-2285 - David Major, Dimitrios Lenis, Maria Wimmer, Astrid Berg, Theresa Neubauer, Katja Bühler:
On the Importance of Domain Awareness in Classifier Interpretations in Medical Imaging. 2286-2298 - Tingxuan Hong, Pu Huang, Xiangyu Zhai, Changming Gu, Baolong Tian, Bin Jin, Dengwang Li:
MARS-GAN: Multilevel-Feature-Learning Attention-Aware Based Generative Adversarial Network for Removing Surgical Smoke. 2299-2312 - Yiwen Zhang, Chuanpu Li, Zhenhui Dai, Liming Zhong, Xuetao Wang, Wei Yang:
Breath-Hold CBCT-Guided CBCT-to-CT Synthesis via Multimodal Unsupervised Representation Disentanglement Learning. 2313-2324 - Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. 2325-2337 - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Shape-Aware Joint Distribution Alignment for Cross-Domain Image Segmentation. 2338-2347 - Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li:
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. 2348-2359 - Sean M. Rothenberger, Neal M. Patel, Jiacheng Zhang, Susanne Schnell, Bruce A. Craig, Sameer A. Ansari, Michael Markl, Pavlos P. Vlachos, Vitaliy L. Rayz:
Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity. 2360-2373 - Xi Chen, Matthew R. Lowerison, Zhijie Dong, Nathiya Vaithiyalingam Chandra Sekaran, Daniel A. Llano, Pengfei Song:
Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network. 2374-2385 - Shuaizheng Chen, Dongaolei An, Chaolu Feng, Zijian Bian, Lianming Wu:
Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet. 2386-2399 - Siqi Liang, Jiasheng Zhou, Zhendong Guo, Da He, Wenzhao Yang, Zhanhong Ye, Weihao Shao, Lili Jing, Sung-Liang Chen:
Miniature Probe for Optomechanical Focus-Adjustable Optical-Resolution Photoacoustic Endoscopy. 2400-2413 - Yi Zhao, Zhipeng Yang, Zhaohua Ding, Jingyong Su:
A Riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter Fibers. 2414-2424 - Qiang Liu, Xiao Liang, Tingting Li, Weian Chao, Weizhi Qi, Tian Jin, Yubin Gong, Huabei Jiang, Lei Xi:
Split Ring Resonator Topology Based Microwave Induced Thermoacoustic Imaging (SRR-MTAI). 2425-2438 - Bin Deng, Hanxue Gu, Hongmin Zhu, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Jayashree Kalpathy-Cramer, Stefan A. Carp:
FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction. 2439-2450 - Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han:
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. 2451-2461 - Wentai Hou, Chengxuan Lin, Lequan Yu, Jing Qin, Rongshan Yu, Liansheng Wang:
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction. 2462-2473
Volume 42, Number 9, September 2023
- Ning Shen, Tingfa Xu, Ziyang Bian, Shiqi Huang, Feng Mu, Bo Huang, Yuze Xiao, Jianan Li:
SCANet: A Unified Semi-Supervised Learning Framework for Vessel Segmentation. 2476-2489 - Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh Lall:
Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs. 2490-2501 - Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan:
Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. 2502-2512 - Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wang:
Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation. 2513-2523 - Shaobin Chen, Zhenquan Wu, Mingzhu Li, Yun Zhu, Hai Xie, Peng Yang, Cheng Zhao, Yongtao Zhang, Shaochong Zhang, Xinyu Zhao, Lin Lu, Guoming Zhang, Baiying Lei:
FIT-Net: Feature Interaction Transformer Network for Pathologic Myopia Diagnosis. 2524-2538 - Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu:
S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. 2539-2551 - Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. 2552-2565 - Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. 2566-2576 - Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk:
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. 2577-2591 - Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition. 2592-2602 - Jiaqi Zhu, Nam Huynh, Olumide Ogunlade, Rehman Ansari, Felix Lucka, Ben T. Cox, Paul C. Beard:
Mitigating the Limited View Problem in Photoacoustic Tomography for a Planar Detection Geometry by Regularized Iterative Reconstruction. 2603-2615 - Ming Li, Jiping Wang, Yang Chen, Yufei Tang, Zhongyi Wu, Yujin Qi, Haochuan Jiang, Jian Zheng, Benjamin M. W. Tsui:
Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning. 2616-2630 - Shengyuan Ma, Runke Wang, Suhao Qiu, Ruokun Li, Qi Yue, Qingfang Sun, Liang Chen, Fuhua Yan, Guang-Zhong Yang, Yuan Feng:
MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN). 2631-2642 - Myung Kyun Woo, Lance DelaBarre, Matt Waks, Russell Luke Lagore, Jeehoon Kim, Steve Jungst, Yigitcan Eryaman, Kâmil Ugurbil, Gregor Adriany:
A 32-Channel Sleeve Antenna Receiver Array for Human Head MRI Applications at 10.5 T. 2643-2652 - Le Shen, Yuxiang Xing, Li Zhang:
Joint Reconstruction and Spectrum Refinement for Photon-Counting-Detector Spectral CT. 2653-2665 - Zhongyu Li, Chaoqun Li, Xiangde Luo, Yitian Zhou, Jihua Zhu, Cunbao Xu, Meng Yang, Yenan Wu, Yifeng Chen:
Toward Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning. 2666-2677 - Zhe Li, Yuming Jiang, Mengkang Lu, Ruijiang Li, Yong Xia:
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. 2678-2689 - Mingjie Jiang, Bernard Chiu:
A Dual-Stream Centerline-Guided Network for Segmentation of the Common and Internal Carotid Arteries From 3D Ultrasound Images. 2690-2705 - Fuzhi Cao, Nan An, Weinan Xu, Wenli Wang, Wen Li, Chunhui Wang, Min Xiang, Yang Gao, Xiaolin Ning:
Optical Co-Registration Method of Triaxial OPM-MEG and MRI. 2706-2713 - Yingpeng Xie, Qiwei Wan, Hai Xie, Yanwu Xu, Tianfu Wang, Shuqiang Wang, Baiying Lei:
Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning. 2714-2725 - Yushan Zheng, Jun Li, Jun Shi, Fengying Xie, Jianguo Huai, Ming Cao, Zhiguo Jiang:
Kernel Attention Transformer for Histopathology Whole Slide Image Analysis and Assistant Cancer Diagnosis. 2726-2739 - Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet. 2740-2750 - Bolun Zeng, Huixiang Wang, Jiangchang Xu, Puxun Tu, Leo Joskowicz, Xiaojun Chen:
Two-Stage Structure-Focused Contrastive Learning for Automatic Identification and Localization of Complex Pelvic Fractures. 2751-2762 - Along He, Kai Wang, Tao Li, Chengkun Du, Shuang Xia, Huazhu Fu:
H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. 2763-2775 - Yifan Liu, Wuyang Li, Jie Liu, Hui Chen, Yixuan Yuan:
GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation. 2776-2786 - Debin Zhang, Zhenlei Lyu, Yaqiang Liu, Zuo-Xiang He, Rutao Yao, Tianyu Ma:
Characterization and Assessment of Projection Probability Density Function and Enhanced Sampling in Self-Collimation SPECT. 2787-2801
Volume 42, Number 10, October 2023
- Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. 2804-2816 - Wenxi Yue, Hongen Liao, Yong Xia, Vincent Lam, Jiebo Luo, Zhiyong Wang:
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis. 2817-2831 - Ange Lou, Kareem O. Tawfik, Xing Yao, Ziteng Liu, Jack H. Noble:
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation. 2832-2841 - Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang:
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. 2842-2852 - Mélanie Mouchet, Jean-Michel Létang, Jerome Lesaint, Simon Rit:
Cone-Beam Pair-Wise Data Consistency Conditions in Helical CT. 2853-2864 - Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi:
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. 2865-2875 - Jakob Haeusele, Clemens Schmid, Manuel Viermetz, Nikolai Gustschin, Tobias Lasser, Thomas Köhler, Franz Pfeiffer:
Advanced Phase-Retrieval for Stepping-Free X-Ray Dark-Field Computed Tomography. 2876-2885 - Emelina P. Vienneau, Brett C. Byram:
A Coded Excitation Framework for High SNR Transcranial Ultrasound Imaging. 2886-2898 - Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen, Yun Gu, Jie Yang:
KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network. 2899-2911 - Lanfeng Zhong, Guotai Wang, Xin Liao, Shaoting Zhang:
HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images. 2912-2923 - Gui-Bin Bian, Li Zhang, He Chen, Zhen Li, Pan Fu, Wen-Qian Yue, Yu-Wen Luo, Pei-Cong Ge, Weipeng Liu:
Motion Decoupling Network for Intra-Operative Motion Estimation Under Occlusion. 2924-2935 - Hao Du, Qihua Dong, Yan Xu, Jing Liao:
Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity. 2936-2947 - Xuanang Xu, Hannah H. Deng, Jaime Gateno, Pingkun Yan:
Federated Multi-Organ Segmentation With Inconsistent Labels. 2948-2960 - Hanvit Kim, Zongyu Li, Jiye Son, Jeffrey A. Fessler, Yuni K. Dewaraja, Se Young Chun:
Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT. 2961-2973 - Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dong Nie, Dinggang Shen:
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint. 2974-2987 - Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob:
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. 2988-2999 - Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li:
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. 3000-3011 - Youyong Kong, Wenhan Wang, Xiaoyun Liu, Shuwen Gao, Zhenghua Hou, Chunming Xie, Zhijun Zhang, Yonggui Yuan:
Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis. 3012-3024 - Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. 3025-3035 - Chumin Zhao, Miguel A. Lago, Ryan Beams, Aldo Badano:
Objective Image Quality Optimization in Augmented Reality Using Spatial Frequency Domain Models. 3036-3047 - Daniel Jiménez Sánchez, Mikel Ariz, Carlos E. de Andrea, Carlos Ortiz-de-Solorzano:
Synplex: In Silico Modeling of the Tumor Microenvironment From Multiplex Images. 3048-3058 - Zhan Gao, Qiuhao Zong, Yiqi Wang, Yan Yan, Yuqing Wang, Ning Zhu, Jin Zhang, Yunfu Wang, Liang Zhao:
Laplacian Salience-Gated Feature Pyramid Network for Accurate Liver Vessel Segmentation. 3059-3068 - Tianfang Zhu, Gang Yao, Dongli Hu, Chuangchuang Xie, Pengcheng Li, Xiaoquan Yang, Hui Gong, Qingming Luo, Anan Li:
Data-Driven Morphological Feature Perception of Single Neuron With Graph Neural Network. 3069-3079 - Yinhao Ren, Xuan Liu, Jun Ge, Zisheng Liang, Xiaoming Xu, Lars J. Grimm, Jonathan Go, Jeffrey R. Marks, Joseph Y. Lo:
Ipsilateral Lesion Detection Refinement for Tomosynthesis. 3080-3090 - Yue Zhang, Chengtao Peng, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, S. Kevin Zhou:
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. 3091-3103 - Yang Zhou, Yongjian Wu, Zihua Wang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation. 3104-3116 - Jiawei Liu, Fuyong Xing, Abbas Shaikh, Brooke French, Marius George Linguraru, Antonio R. Porras:
Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding. 3117-3126
Volume 42, Number 11, November 2023
- Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Hao Zhang, Siming Lu, Amit Gupta, Haifang Li, Michael Reiter, Zhengrong Liang:
Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT. 3129-3139 - Yuhe Shen, Jiang Li, Weifang Zhu, Kai Yu, Meng Wang, Yuanyuan Peng, Yi Zhou, Liling Guan, Xinjian Chen:
Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization Segmentation in OCT Images. 3140-3154 - Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. 3155-3166 - Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Multi-Modal Learning for Predicting the Genotype of Glioma. 3167-3178 - Hongxiao Wang, Gang Huang, Zhuo Zhao, Liang Cheng, Anna Juncker-Jensen, Mate Levente Nagy, Xin Lu, Xiangliang Zhang, Danny Z. Chen:
CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification. 3179-3193 - Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. 3194-3204 - Jing Jiao, Hongshuang Sun, Yi Huang, Menghua Xia, Mengyun Qiao, Yunyun Ren, Yuanyuan Wang, Yi Guo:
GMRLNet: A Graph-Based Manifold Regularization Learning Framework for Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound Data. 3205-3218 - Shuibin Ni, Thanh-Tin P. Nguyen, Ringo Ng, Mani Woodward, Susan Ostmo, Yali Jia, Michael F. Chiang, David Huang, Alison H. Skalet, J. Peter Campbell, Yifan Jian:
Panretinal Optical Coherence Tomography. 3219-3228 - Jingyi Yang, Licheng Jiao, Ronghua Shang, Xu Liu, Ruiyang Li, Longchang Xu:
EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation. 3229-3243 - Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng:
Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation. 3244-3255 - Rong Tao, Xiaoyang Zou, Guoyan Zheng:
LAST: LAtent Space-Constrained Transformers for Automatic Surgical Phase Recognition and Tool Presence Detection. 3256-3268 - Hongkuan Shi, Zhiwei Wang, Ying Zhou, Dun Li, Xin Yang, Qiang Li:
Bidirectional Semi-Supervised Dual-Branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions. 3269-3282 - Qianyu Wu, Xu Ji, Yunbo Gu, Jun Xiang, Guotao Quan, Baosheng Li, Jian Zhu, Gouenou Coatrieux, Jean-Louis Coatrieux, Yang Chen:
Unsharp Structure Guided Filtering for Self-Supervised Low-Dose CT Imaging. 3283-3294 - Yifei Guo, Menghan Hu, Xiongkuo Min, Yan Wang, Min Dai, Guangtao Zhai, Xiao-Ping Zhang, Xiaokang Yang:
Blind Image Quality Assessment for Pathological Microscopic Image Under Screen and Immersion Scenarios. 3295-3306 - Md Ashikuzzaman, Ali Kafaei Zad Tehrani, Hassan Rivaz:
Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography. 3307-3322 - Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. 3323-3335 - Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika:
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. 3336-3347 - Shaozhuang Ye, Tuo Wang, Mingyue Ding, Xuming Zhang:
F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion. 3348-3361 - Clinton J. Wang, Natalia S. Rost, Polina Golland:
Spatial-Intensity Transforms for Medical Image-to-Image Translation. 3362-3373 - Zhihua Wang, Lequan Yu, Xin Ding, Xuehong Liao, Liansheng Wang:
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis. 3374-3383 - Chong Ma, Lin Zhao, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, Tianming Liu:
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning. 3384-3394 - Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. 3395-3407 - Wenting Shen, Yaonan Wang, Min Liu, Jiazheng Wang, Renjie Ding, Zhe Zhang, Erik Meijering:
Branch Aggregation Attention Network for Robotic Surgical Instrument Segmentation. 3408-3419 - Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu:
One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction. 3420-3435 - Tajwar Abrar Aleef, Julio Lobo, Ali Baghani, Shahed K. Mohammed, Hani Eskandari, Hamid Moradi, Robert Rohling, S. Larry Goldenberg, William J. Morris, Seyedeh Sara Mahdavi, Septimiu E. Salcudean:
Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for the Prostate. 3436-3450 - Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection. 3451-3460
Volume 42, Number 12, December 2023
- Adam Marcus, Paul Bentley, Daniel Rueckert:
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network. 3464-3473 - Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang:
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. 3474-3486 - Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen:
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. 3487-3500 - Zhonghua Wang, Junyan Lyu, Xiaoying Tang:
autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation. 3501-3511 - Xueqi Guo, Bo Zhou, Xiongchao Chen, Ming-Kai Chen, Chi Liu, Nicha C. Dvornek:
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction. 3512-3523 - Muzaffer Özbey, Onat Dalmaz, Salman Ul Hassan Dar, Hasan Atakan Bedel, Saban Öztürk, Alper Güngör, Tolga Çukur:
Unsupervised Medical Image Translation With Adversarial Diffusion Models. 3524-3539 - Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. 3540-3554 - Banghe Zhu, Jonathan Hendricks, Janelle E. Morton, John C. Rasmussen, Christopher F. Janssen, Manish N. Shah, Eva M. Sevick-Muraca:
Near-Infrared Fluorescence Tomography and Imaging of Ventricular Cerebrospinal Fluid Flow and Extracranial Outflow in Non-Human Primates. 3555-3565 - Yuanyuan Chen, Yongsheng Pan, Yong Xia, Yixuan Yuan:
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis. 3566-3578 - Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng:
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. 3579-3589 - Shuyi Lu, Jinhua Liu, Xiaojie Wang, Yuanfeng Zhou:
Collaborative Multi-Metadata Fusion to Improve the Classification of Lumbar Disc Herniation. 3590-3601 - Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu:
Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth. 3602-3613 - Lin-Sen Zhang, Shiqi Liu, Xiao-Liang Xie, Xiao-Hu Zhou, Zeng-Guang Hou, Chao-Nan Wang, Xinkai Qu, Wenzheng Han, Xiyao Ma, Meng Song:
A Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate. 3614-3624 - Yu Ling, Weimin Tan, Bo Yan:
Self-Supervised Digital Histopathology Image Disentanglement for Arbitrary Domain Stain Transfer. 3625-3638 - Gen Shi, Lin Yin, Yu An, Guanghui Li, Liwen Zhang, Zhongwei Bian, Ziwei Chen, Haoran Zhang, Hui Hui, Jie Tian:
Progressive Pretraining Network for 3D System Matrix Calibration in Magnetic Particle Imaging. 3639-3650 - Baiying Lei, Yun Zhu, Enmin Liang, Peng Yang, Shaobin Chen, Huoyou Hu, Haoran Xie, Ziyi Wei, Fei Hao, Xuegang Song, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang, Hongbin Han:
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis. 3651-3664 - Xiaoqin Tang, Lingpeng Lv, Shima Javanmardi, Yunfeng Wang, Jingchuan Fan, Fons J. Verbeek, Guoqiang Xiao:
Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping. 3665-3677 - Heran Yang, Jian Sun, Zongben Xu:
Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities. 3678-3689 - Yicheng Zhong, Yuru Pei, Kaichen Nie, Yungeng Zhang, Tianmin Xu, Hongbin Zha:
Bi-Graph Reasoning for Masticatory Muscle Segmentation From Cone-Beam Computed Tomography. 3690-3701 - Peng Li, Yue Hu:
Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for Non-Cartesian MRF Reconstruction. 3702-3714 - Weimin Zhou, Umberto Villa, Mark A. Anastasio:
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks. 3715-3724 - S. Shailja, Vikram Bhagavatula, Matthew Cieslak, Jean M. Vettel, Scott T. Grafton, B. S. Manjunath:
ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI. 3725-3737 - Yan Wang, Jian Cheng, Yixin Chen, Shuai Shao, Lanyun Zhu, Zhenzhou Wu, Tao Liu, Haogang Zhu:
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation. 3738-3751 - Xinlu Tang, Rui Guo, Chencheng Zhang, Xiahai Zhuang, Xiaohua Qian:
A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. 3752-3763 - Rui Fan, Christopher Bowd, Nicole Brye, Mark Christopher, Robert N. Weinreb, David J. Kriegman, Linda M. Zangwill:
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis. 3764-3778 - Fang Chen, Lingyu Chen, Wentao Kong, Weijing Zhang, Pengfei Zheng, Liang Sun, Daoqiang Zhang, Hongen Liao:
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. 3779-3793 - Huisi Wu, Zhaoze Wang, Zebin Zhao, Cheng Chen, Jing Qin:
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning. 3794-3804 - Ziheng Deng, Weikang Zhang, Kaile Chen, Yufu Zhou, Jiao Tian, Guotao Quan, Jun Zhao:
TT U-Net: Temporal Transformer U-Net for Motion Artifact Reduction Using PAD (Pseudo All-Phase Clinical-Dataset) in Cardiac CT. 3805-3816 - Martin Zach, Florian Knoll, Thomas Pock:
Stable Deep MRI Reconstruction Using Generative Priors. 3817-3832 - Yue Guan, Yudu Li, Ruihao Liu, Ziyu Meng, Yao Li, Leslie Ying, Yiping P. Du, Zhi-Pei Liang:
Subspace Model-Assisted Deep Learning for Improved Image Reconstruction. 3833-3846 - Xuming An, Pengchang Li, Chen Zhang:
Deep Cascade-Learning Model via Recurrent Attention for Immunofixation Electrophoresis Image Analysis. 3847-3859 - Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski:
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images. 3860-3870 - Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu:
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. 3871-3883 - Ji Yu:
Point-Supervised Single-Cell Segmentation via Collaborative Knowledge Sharing. 3884-3894 - Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Nassir Navab, Shadi Albarqouni:
Digital Staining of White Blood Cells With Confidence Estimation. 3895-3906 - Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen:
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. 3907-3918 - Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang, Zhijian Song:
A Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation. 3919-3931 - Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. 3932-3943 - Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. 3944-3955 - Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei:
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. 3956-3971 - Zejian Chen, Wei Zhuo, Tianfu Wang, Jun Cheng, Wufeng Xue, Dong Ni:
Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences. 3972-3986 - Samir Jain, Rohan Atale, Anubhav Gupta, Utkarsh Mishra, Ayan Seal, Aparajita Ojha, Joanna Jaworek-Korjakowska, Ondrej Krejcar:
CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation. 3987-4000
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