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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part VII
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14226, Springer 2023, ISBN 978-3-031-43989-6
Clinical Applications - Abdomen
- Qinji Yu, Nan Xi, Junsong Yuan, Ziyu Zhou, Kang Dang, Xiaowei Ding:
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning. 3-12 - Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura, Yoshiro Kitamura:
Segmentation of Kidney Tumors on Non-Contrast CT Images Using Protuberance Detection Network. 13-22 - Chong Wang, Daoqiang Zhang, Rongjun Ge:
Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen. 23-32 - Meng Han, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency. 33-42 - Zailiang Chen, Jiang Zhu, Hailan Shen, Hui Liu, Yajing Li, Rongchang Zhao, Feiyang Yu:
Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders. 43-53
Clinical Applications - Breast
- Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. 57-67 - Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen:
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. 68-78 - Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. 79-88 - Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen:
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. 89-96
Clinical Applications - Cardiac
- Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong:
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. 99-109 - Baihong Xie, Xiujian Liu, Heye Zhang, Chenchu Xu, Tieyong Zeng, Yixuan Yuan, Guang Yang, Zhifan Gao:
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. 110-120 - Xin You, Ming Ding, Minghui Zhang, Yangqian Wu, Yi Yu, Yun Gu, Jie Yang:
Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage. 121-131 - Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas:
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. 132-142 - Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi:
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. 143-152 - Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng:
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. 153-162 - Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang:
A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. 163-172 - Yu Deng, Hao Xu, Sashya Rodrigo, Steven E. Williams, Michelle C. Williams, Steven A. Niederer, Kuberan Pushparajah, Alistair A. Young:
ModusGraph: Automated 3D and 4D Mesh Model Reconstruction from Cine CMR with Improved Accuracy and Efficiency. 173-183 - Jinho Joo, Gihun Joo, Yeji Kim, Moo-Nyun Jin, Junbeom Park, Hyeonseung Im:
Twelve-Lead ECG Reconstruction from Single-Lead Signals Using Generative Adversarial Networks. 184-194 - Yashi Li, Huihui Ye, Huafeng Liu:
Forward-Solution Aided Deep-Learning Framework for Patient-Specific Noninvasive Cardiac Ectopic Pacing Localization. 195-205 - Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu:
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. 206-215 - Eduardo Castañeda, Masahito Suzuki, Hiroshi Ashikaga, Èric Lluch, Felix Meister, Viorel Mihalef, Chloé Audigier, Andreas K. Maier, Henry R. Halperin, Tiziano Passerini:
Virtual Heart Models Help Elucidate the Role of Border Zone in Sustained Monomorphic Ventricular Tachycardia. 216-225 - Eyal Hanania, Ilya Volovik, Lilach Barkat, Israel Cohen, Moti Freiman:
PCMC-T1: Free-Breathing Myocardial T1 Mapping with Physically-Constrained Motion Correction. 226-235 - Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau:
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. 236-246
Clinical Applications - Dermatology
- Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. 249-259 - Wei-Lun Huang, Davood Tashayyod, Jun Kang, Amir Gandjbakhche, Michael Kazhdan, Mehran Armand:
Skin Lesion Correspondence Localization in Total Body Photography. 260-269 - Héctor Carrión, Narges Norouzi:
FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification. 270-279
Clinical Applications - Fetal Imaging
- Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim:
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. 283-292 - Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Davood Karimi, Meritxell Bach Cuadra:
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning. 293-303 - Mingxuan Lu, Tianyu Wang, Hao Zhu, Mian Li:
HACL-Net: Hierarchical Attention and Contrastive Learning Network for MRI-Based Placenta Accreta Spectrum Diagnosis. 304-314 - Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang:
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation. 315-324 - Zihang Xu, Haifan Gong, Xiang Wan, Haofeng Li:
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation. 325-335 - Priscille de Dumast, Thomas Sanchez, Hélène Lajous, Meritxell Bach Cuadra:
Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction. 336-346 - Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
TabAttention: Learning Attention Conditionally on Tabular Data. 347-357 - Kelly Payette, Alena Uus, Jordina Aviles Verdera, Carla Avena Zampieri, Megan Hall, Lisa Story, Maria Deprez, Mary A. Rutherford, Joseph V. Hajnal, Sébastien Ourselin, Raphaël Tomi-Tricot, Jana Hutter:
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field. 358-367
Clinical Applications - Lung
- Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Tim-Ee Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu:
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. 371-381 - Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. 382-392 - Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang:
AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling. 393-402 - Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan:
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction. 403-412 - Leihao Wei, Anil Yadav, William Hsu:
CTFlow: Mitigating Effects of Computed Tomography Acquisition and Reconstruction with Normalizing Flows. 413-422 - Brian Teixeira, Vivek K. Singh, Birgi Tamersoy, Andreas Prokein, Ankur Kapoor:
Automated CT Lung Cancer Screening Workflow Using 3D Camera. 423-431
Clinical Applications - Musculoskeletal
- Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Sidney S. Fels, Jerry L. Prince, Georges El Fakhri, Jonghye Woo:
Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer. 435-445 - Magdalena Bachmaier, Maximilian Rohleder, Benedict Swartman, Maxim Privalov, Andreas K. Maier, Holger Kunze:
Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images. 446-455 - Fan Duan, Li Chen:
3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer. 456-465 - Yifei Long, Jiayi Pan, Yan Xi, Jianjia Zhang, Weiwen Wu:
Full Image-Index Remainder Based Single Low-Dose DR/CT Self-supervised Denoising. 466-475 - Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein:
Shape-Based Pose Estimation for Automatic Standard Views of the Knee. 476-486 - Marilyn Keller, Marcell Krall, James Smith, Hans Clement, Alexander M. Kerner, Andreas Gradischar, Ute Schäfer, Michael J. Black, Annelie Weinberg, Sergi Pujades:
Optimizing the 3D Plate Shape for Proximal Humerus Fractures. 487-496 - Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Yuta Hiasa, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume. 497-507
Clinical Applications - Oncology
- Yihua Sun, Hee Guan Khor, Sijuan Huang, Qi Chen, Shaobin Wang, Xin Yang, Hongen Liao:
Second-Course Esophageal Gross Tumor Volume Segmentation in CT with Prior Anatomical and Radiotherapy Information. 511-520 - Mingyu Wang, Yi Li, Bin Huang, Chenglang Yuan, Yangdi Wang, Yanji Luo, Bingsheng Huang:
Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data. 521-530 - Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein:
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. 531-540 - Wen Li, Dan Zhao, Zhi Chen, Zhou Huang, Saikit Lam, Yaoqin Xie, Wenjian Qin, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai, Tian Li:
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma. 541-550 - Xiaofei Wang, Stephen Price, Chao Li:
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma. 551-561 - Amoon Jamzad, Fahimeh Fooladgar, Laura Connolly, Dilakshan Srikanthan, Ayesha Syeda, Martin Kaufmann, Kevin Yi Mi Ren, Shaila Merchant, Cecil Jay Engel, Sonal Varma, Gabor Fichtinger, John F. Rudan, Parvin Mousavi:
Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer. 562-571 - Tianyi Ling, Chengyi Wu, Huan Yu, Tian Cai, Da Wang, Yincong Zhou, Ming Chen, Kefeng Ding:
Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation. 572-581
Clinical Applications - Ophthalmology
- Yihua Sun, Dawei Li, Seongho Kim, Ya Xing Wang, Jinyuan Wang, Tien Yin Wong, Hongen Liao, Su Jeong Song:
Retinal Thickness Prediction from Multi-modal Fundus Photography. 585-595 - Ke Zou, Tian Lin, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu:
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions. 596-606 - Shouyue Liu, Jinkui Hao, Yanwu Xu, Huazhu Fu, Xinyu Guo, Jiang Liu, Yalin Zheng, Yonghuai Liu, Jiong Zhang, Yitian Zhao:
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images. 607-617 - Zheang Huai, Xinpeng Ding, Yi Li, Xiaomeng Li:
Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation. 618-628 - Zhen Yu, Ruiye Chen, Peng Gui, Lie Ju, Xianwen Shang, Zhuoting Zhu, Mingguang He, Zongyuan Ge:
Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning. 629-638 - Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li:
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. 639-648 - Zipei Yan, Dong Liang, Linchuan Xu, Jiahang Li, Zhengji Liu, Shuai Wang, Jiannong Cao, Chea-su Kee:
VF-HM: Vision Loss Estimation Using Fundus Photograph for High Myopia. 649-659 - Sanqian Li, Risa Higashita, Huazhu Fu, Heng Li, Jingxuan Niu, Jiang Liu:
Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling. 660-670 - Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. 671-681 - Puxun Tu, Hongfei Ye, Jeff Young, Meng Xie, Ce Zheng, Xiaojun Chen:
Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery. 682-692 - Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli:
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology. 693-703 - You Zhou, Gang Yang, Yang Zhou, Dayong Ding, Jianchun Zhao:
Representation, Alignment, Fusion: A Generic Transformer-Based Framework for Multi-modal Glaucoma Recognition. 704-713 - Mohsin Challoob, Yongsheng Gao, Andrew Busch, Weichuan Zhang:
A Modulatory Elongated Model for Delineating Retinal Microvasculature in OCTA Images. 714-723 - Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. 724-734 - Qian Zhou, Hua Zou, Haifeng Jiang, Yong Wang:
Incomplete Multimodal Learning for Visual Acuity Prediction After Cataract Surgery Using Masked Self-Attention. 735-744 - Zhaojie Fang, Zhanghao Chen, Pengxue Wei, Wangting Li, Shaochong Zhang, Ahmed Elazab, Gangyong Jia, Ruiquan Ge, Changmiao Wang:
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN. 745-755
Clinical Applications - Vascular
- Zhixing Zhang, Ziwei Zhao, Dong Wang, Shishuang Zhao, Yuhang Liu, Jia Liu, Liwei Wang:
Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-Aware Connection Classifier. 759-769 - Ruisheng Su, Matthijs van der Sluijs, Sandra A. P. Cornelissen, Wim H. van Zwam, Aad van der Lugt, Wiro J. Niessen, Danny Ruijters, Theo van Walsum, Adrian V. Dalca:
AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. 770-780 - Patryk Rygiel, Pawel Pluszka, Maciej Zieba, Tomasz K. Konopczynski:
CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. 781-790 - Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen:
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. 791-801 - Ardit Ramadani, Peter Ewert, Heribert Schunkert, Nassir Navab:
WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-Guided Procedures. 802-811
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