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ORCID18th ISBI 2021: Nice, France
- 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021. IEEE 2021, ISBN 978-1-6654-1246-9
- Carlos Sosa Marrero, Pierre Fontaine, Eugenia Mylona
, Khémara Gnep, Alfredo I. Hernández, François Paris, Renaud de Crevoisier, Oscar Acosta:
Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy. 1-4 - Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel:
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. 5-9 - Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo:
A Unified Conditional Disentanglement Framework For Multimodal Brain Mr Image Translation. 10-14 - Dennis Bähr, Dennis Eschweiler, Anuk Bhattacharyya, Daniel Moreno-Andrés, Wolfram Antonin, Johannes Stegmaier:
Cellcyclegan: Spatiotemporal Microscopy Image Synthesis Of Cell Populations Using Statistical Shape Models And Conditional Gans. 15-19 - Martin Jammes-Floreani, Andrew F. Laine, Elsa D. Angelini:
Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations. 20-23 - Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation. 24-28 - Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
A Geometrically-Constrained Deep Network For Ct Image Segmentation. 29-33 - Muneyuki Sato, Ze Jin, Kenji Suzuki:
Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size. 34-37 - Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. 38-41 - Qianfei Zhao, Huan Wang, Guotai Wang:
LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images. 42-45 - Andrew Zhen, Minjeong Kim, Guorong Wu:
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network. 46-49 - Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki:
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. 50-54 - Claudio Román, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Study Of Precentral-Postcentral Connections On Hcp Data Using Probabilistic Tractography And Fiber Clustering. 55-59 - Viljami Sairanen, Mario Ocampo-Pineda, Cristina Granziera, Simona Schiavi, Alessandro Daducci:
Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering. 60-63 - Ivana Kojcic, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier:
Incorporating Transmission Delays Supported By Diffusion Mri In Meg Source Reconstruction. 64-68 - Mehmet Ozan Unal, Metin Ertas, Isa Yildirim:
Self-Supervised Training For Low-Dose Ct Reconstruction. 69-72 - Nwigbo Kenule Tuador, Duong-Hung Pham, Jérôme Michetti, Adrian Basarab, Denis Kouamé:
A Novel Fast 3d Single Image Super-Resolution Algorithm. 73-76 - Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov:
No-Reference Denoising Of Low-Dose Ct Projections. 77-81 - Afonso Nunes, Sujal R. Desai, Thomas Semple, Anand Shah, Elsa D. Angelini:
3d Pathological Signs Detection And Scoring On CPA CT Lung Scans. 82-85 - Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Beam Stack Search-Based Reconstruction Of Unhealthy Coronary Artery Wall Segmentations In CCTA-CPR Scans. 86-90 - Zohaib Salahuddin, Matthias Lenga, Hannes Nickisch:
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans. 91-95 - Ang Nan Gu, Mohammad H. Jafari, Christina Luong, Teresa Tsang, Purang Abolmaesumi:
Echocardiogram View Conversion using Clinically Constrained Conditional GAN. 96-99 - Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya:
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. 100-104 - Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. 105-109 - Fatemeh Taheri Dezaki, Tom Ginsberg, Christina Luong, Hooman Vaseli, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang:
Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography. 110-113 - Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob:
Deep Generative Storm Model for Dynamic Imaging. 114-117 - Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. 118-121 - Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. 122-125 - Qing Liu, Defu Yang, Jingwen Zhang, Ziming Wei, Guorong Wu, Minghan Chen:
Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data. 126-129 - Yudan Ren, Zeyang Tao, Wei Zhang, Tianming Liu:
Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search. 130-134 - Anaïs Badoual, Misa Arizono, Audrey Denizot, Mathieu Ducros, Hugues Berry, U. Valentin Nägerl, Charles Kervrann:
Simulation of Astrocytic Calcium Dynamics in Lattice Light Sheet Microscopy Images. 135-139 - Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick J. La Rivière, Xiaolei Huang, Keith C. Cheng:
Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains. 140-144 - Shuo Han, Aaron Carass, Michael Schär, Peter A. Calabresi, Jerry L. Prince:
Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks. 145-149 - Xinkai Zhao, Chaowei Fang, Feng Gao, De-Jun Fan, Xutao Lin, Guanbin Li:
Deep Transformers For Fast Small Intestine Grounding In Capsule Endoscope Video. 150-154 - Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan:
Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features. 155-159 - Ling Huang, Su Ruan, Thierry Denoeux:
Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. 160-164 - Daniela Schacherer, Christian Ritter, Karl Rohr:
Multiple Hypothesis Tracking With Integrated Cell Division Detection. 165-168 - Chen Wang, Xianbo Deng, Li Yu, Zhuo Kuang, Hui Ma, Yineng Hua, Bo Liang:
Data Fusion Framework For The Prediction Of Early Hematoma Expansion Based On CNN. 169-173 - Shirin Shakeri, William Le, Cynthia Ménard, Samuel Kadoury:
Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders. 174-178 - James McCouat, Irina Voiculescu, Siôn Glyn-Jones:
Automatically Diagnosing HIP Conditions from X-Rays using Landmark Detection. 179-182 - Shuting Xie, Linsheng Cheng, Huafeng Liu:
Lnista-Net: Learning Nonlocal Regularized Iterative Shrinkage-Thresholding Network For Noninvasive Cardiac Transmembrane Potential Imaging. 183-186 - Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. 187-190 - Jiancheng Yang, Rui Shi, Bingbing Ni:
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. 191-195 - Reem Haweel, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Noha A. Seada, Said Ghoniemy, Gregory Barnes, Ayman El-Baz:
A Novel Dwt-Based Discriminant Features Extraction From Task-Based Fmri: An Asd Diagnosis Study Using Cnn. 196-199 - Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Finite Element Reconstruction of Stiffness Images in MR Elastography Using Statistical Physical Forward Modeling and Proximal Optimization Methods. 200-203 - Aleksandra Melnikova, Petr Matula:
Topology Preserving Segmentation Fusion For Cells With Complex Shapes. 204-207 - Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu:
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. 208-211 - Chongyang Cao, Jianghong Xiao, Bo Zhan, Xingchen Peng, Xi Wu, Jiliu Zhou, Yan Wang:
Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy. 212-215 - Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo:
Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data. 216-220 - Adrian Shajkofci, Michael Liebling:
Estimating Nonplanar Flow From 2D Motion-Blurred Widefield Microscopy Images Via Deep Learning. 221-224 - Kumar Abhishek, Ghassan Hamarneh:
Matthews Correlation Coefficient Loss For Deep Convolutional Networks: Application To Skin Lesion Segmentation. 225-229 - Huite Yi, Jun Shi, Bing Yan, Xudong Xue, Hong An, Hongyan Zhang:
Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer. 230-233 - Mirco Grosser, Tobias Knopp:
Efficient Optimization Of Mri Sampling Patterns Using The Bayesian Fisher Information Matrix. 234-237 - Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert:
Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. 238-242 - Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras:
Deep Fisher Vector Coding For Whole Slide Image Classification. 243-246 - Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. 247-251 - Roozbeh Shams, William Le, Adrien Weihs, Samuel Kadoury:
Intensity-Based Wasserstein Distance As A Loss Measure For Unsupervised Deformable Deep Registration. 252-256 - Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, Guanbin Li:
Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior. 257-261 - Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding:
A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. 262-266 - Mohamed T. Ali, Yaser A. Elnakieb, Ahmed Shalaby, Ali H. Mahmoud, Andy Switala, Mohammed Ghazal, Adel Khelifi, Luay Fraiwan, Georgy Barnes, Ayman El-Baz:
Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces. 267-270 - Giovanna Orrú, Pierre Maurel, Julie Coloigner:
Structural And Functional Interplay In Anxiety Related Classification: A Graph Signal Processing Approach. 271-274 - Zhipeng Ding, Marc Niethammer:
Votenet++: Registration Refinement For Multi-Atlas Segmentation. 275-279 - Aparna Kanakatte, Karthik Seemakurthy, Jay Gubbi, J. Saha, Avik Ghose, Balamuralidhar Purushothaman:
Surgical Smoke Dehazing and Color Reconstruction. 280-284 - Yu Luo, Haoyang Chen, Jicong Zhang:
Enhanced Connectivity and Reduced Mind Wandering after Tactile Training in Young Adults. 285-289 - Shohei Ouchi, Satoshi Ito:
Multi-Channel Grouped CNN-Based Image Reconstruction For Reduced Sampled Complex MR Signal. 290-294 - Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht:
Multistar: Instance Segmentation Of Overlapping Objects With Star-Convex Polygons. 295-298 - Mohammad Hossein Zangooei, Ryan Margolis, Kenneth Hoyt:
Computational Modeling of Cancer Growth Using Microvascular Input From in Vivo Microct Images. 299-302 - Chuchen Li, Huafeng Liu:
Generative Adversarial Semi-Supervised Network For Medical Image Segmentation. 303-306 - Elda Fischi Gomez, Jonathan Rafael-Patino, Marco Pizzolato, Gian Franco Piredda, Tom Hilbert, Tobias Kober, Erick Jorge Canales-Rodríguez, Jean-Philippe Thiran:
Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection. 307-311 - Eilidh MacNicol, Rastko Ciric, Eugene Kim, Davide Di Censo, Diana Cash, Russell A. Poldrack, Oscar Esteban:
Atlas-Based Brain Extraction Is Robust Across RAT MRI Studies. 312-315 - Haibo Yang, Guangyu Wu, Dinggang Shen, Shu Liao:
Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning. 316-319 - Diana Mandache, Emilie Benoit á la Guillaume, Marie-Christine Mathieu, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Leveraging Global Diagnosis For Tumor Localization In Dynamic Cell Imaging Of Breast Cancer Tissue Towards Fast Biopsying. 320-323 - Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov, Valeriya Pronina, Dmitry V. Dylov:
Deep Learning Framework For Mobile Microscopy. 324-328 - Shawn Mathew, Saad Nadeem, Arie E. Kaufman:
Visualizing Missing Surfaces In Colonoscopy Videos Using Shared Latent Space Representations. 329-333 - Bing Jiang, Yuyao Zhang, Minye Wu, Ji Li, Jingyi Yu:
Consistent Wce Video Frame Interpolation Based On Endoscopy Image Motion Estimation. 334-338 - Tran Thien Dat Nguyen, Changbeom Shim, Wooil Kim:
Biological Cell Tracking And Lineage Inference Via Random Finite Sets. 339-343 - Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. 344-348 - Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub, Luca Calatroni, Laure Blanc-Féraud:
COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation. 349-352 - Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. 353-357 - Zihan Wu, Rongbo Shen, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. 358-361 - Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Andrew P. Bradley, Clinton Fookes, Olivier Salvado:
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. 362-366 - Laura Estacio, Moritz Ehlke, Alexander Tack, Eveling Castro Gutierrez, Hans Lamecker, Rensso Mora, Stefan Zachow:
Unsupervised Detection Of Disturbances In 2d Radiographs. 367-370 - Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel:
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. 371-374 - Samuel Kubler, Suvadip Mukherjee, Jean-Christophe Olivo-Marin, Thibault Lagache:
A Robust and Versatile Framework to Compare Spike Detection Methods in Calcium Imaging of Neuronal Activity. 375-379 - Karine Haddadi, Serge Muller, Isabelle Bloch:
Validation Of A Bi-Energetic Spectrum Approximation In Bone Mineral Density Measurement With A Dxa Digital Twin. 380-384 - S. Shailja, Jiaxiang Jiang, B. S. Manjunath:
Semi Supervised Segmentation And Graph-Based Tracking Of 3d Nuclei In Time-Lapse Microscopy. 385-389 - Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay, Michael Mayo:
Comparison Of Pretrained Feature Extractors For Glaucoma Detection. 390-394 - Hilda Chourak, Anaïs Barateau, Eugenia Mylona, Capucine Cadin, Caroline Lafond, Peter B. Greer, Jason Dowling, Jean-Claude Nunes, Renaud de Crevoisier, Oscar Acosta:
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. 395-399 - Yu-Jen Chen, Cheng-Yen Tsai, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, Jian Zhuang:
Ct Image Denoising With Encoder-Decoder Based Graph Convolutional Networks. 400-404 - Brahim Belaoucha, Théodore Papadopoulo:
Elasticnetisdr to Reconstruct Both Sparse Brain Activity and Effective Connectivity. 405-409 - Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu:
Multi-Modal Active Learning For Automatic Liver Fibrosis Diagnosis Based On Ultrasound Shear Wave Elastography. 410-414 - Gayathri Malamal, Mahesh Raveendranatha Panicker:
Towards Diffuse Beamforming For Specular Reflectors: A Pixel-Level Reflection Tuned Apodization Scheme For Ultrasound Imaging. 415-418 - Zhendong Liu, Xiaoqiong Huang, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro F. Frangi, Dong Ni:
Generalize Ultrasound Image Segmentation Via Instant And Plug & Play Style Transfer. 419-423 - Golara Javadi, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
Characterizing The Uncertainty Of Label Noise In Systematic Ultrasound-Guided Prostate Biopsy. 424-428 - Yuling Fan, Hongjian Wang, Hartmut Gemmeke, Torsten Hopp, Koen van Dongen, Jürgen Hesser:
Memory-Efficient Neural Network For Non-Linear Ultrasound Computed Tomography Reconstruction. 429-432 - Shu-Fu Shih, Sevgi Gokce Kafali, Tess Armstrong, Xiaodong Zhong, Kara L. Calkins, Holden H. Wu:
Deep Learning-Based Parameter Mapping With Uncertainty Estimation For Fat Quantification Using Accelerated Free-Breathing Radial MRI. 433-437 - Edward Chen, Howie Choset, John M. Galeotti:
Uncertainty-Based Adaptive Data Augmentation For Ultrasound Imaging Anatomical Variations. 438-442 - Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III:
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. 443-447 - Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He:
Exploring Instance-Level Uncertainty for Medical Detection. 448-452 - Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation. 453-457 - Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Transducer Adaptive Ultrasound Volume Reconstruction. 511-515 - Heng Li, Haofeng Liu, Yan Hu, Risa Higashita, Yitian Zhao, Hong Qi, Jiang Liu:
Restoration Of Cataract Fundus Images Via Unsupervised Domain Adaptation. 516-520 - Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. 521-525 - Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. 526-530 - Justin Law, Thomas G. Paulson, Carissa A. Sanchez, Patricia C. Galipeau, Marnix Jansen, Matthew D. Stachler, Carlo C. Maley, Yinyin Yuan:
Wisdom Of The Crowd For Early Detection In Barrett's Esophagus. 531-535 - Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. 536-540 - Tsung-Han Lee, Li-Ting Huang, Paul Kuo, Chien-Kuo Wang, Jiun-In Guo:
Focal-Balanced Attention U-Net with Dynamic Thresholding by Spatial Regression for Segmentation of Aortic Dissection in CT Imagery. 541-544 - Marc-André Fiedler, Michal Rapczynski, Ayoub Al-Hamadi:
Facial Video-Based Respiratory Rate Recognition Interpolating Pulsatile PPG Rise And Fall Times. 545-549 - Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. 550-553