- Jules Bayet, Tim Hoogenboom, Rohini Sharma, Elsa D. Angelini:
Machine-Learning on Liver Ultrasound to Stratify Multiple Diseases via Blood-Vessels and Perfusion Characteristics. ISBI 2020: 1351-1354 - Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast Lesion Segmentation in Ultrasound Images with Limited Annotated Data. ISBI 2020: 1834-1837 - Hamid Behjat, Martin Larsson:
Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical Graphs. ISBI 2020: 558-562 - Alex Benjamin, Gregory Ely, Jonathan R. Fincke, Brian W. Anthony:
Reflection Ultrasound Tomography Using Localized Freehand Scans. ISBI 2020: 316-320 - Anton Böhm, Nikolaus Mayer, Thomas Brox:
Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. ISBI 2020: 230-234 - Thomas William Arthur Bolton, Dimitri Van De Ville:
Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour. ISBI 2020: 549-553 - Romina Del Bosque, Edith Valle, Matthew D. Wilcox, Travis Carrell, Peter Nghiem, Steven M. Wright, Mary P. McDougall:
Mr Imaging and Spectroscopy for Biomarker Characterization in Golden Retriever Muscular Dystrophy Tissue Samples. ISBI 2020: 1454-1458 - Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. ISBI 2020: 1164-1167 - Joseph Boyd, Zelia Gouveia, Franck Perez, Thomas Walter:
Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. ISBI 2020: 886-890 - Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers:
Removing Structured Noise with Self-Supervised Blind-Spot Networks. ISBI 2020: 159-163 - Leo Brueggeman, Taylor R. Thomas, Tanner Koomar, Brady Hoskins, Jacob J. Michaelson:
Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional Networks. ISBI 2020: 1-4 - Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI 2020: 359-362 - Patrick D. Byrnes, William E. Higgins:
MULTI-FRAME CT-VIDEO REGISTRATION FOR 3D AIRWAY-WALL ANALYSIS. ISBI 2020: 1638-1641 - Ryan P. Cabeen, Riikka J. Immonen, Neil G. Harris, Olli Gröhn, Gregory Smith, Eppu Manninen, Rachael Garner, Dominique Duncan, Asla Pitkänen, Arthur W. Toga:
A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic Epileptogenesis. ISBI 2020: 1013-1017 - Ryan P. Cabeen, Arthur W. Toga:
Reinforcement Tractography: A Hybrid Approach for Robust Segmentation of Complex Fiber Bundles. ISBI 2020: 999-1003 - Elvis R. Capia, Azael de Melo e Sousa, Alexandre X. Falcão:
Improving Lung Nodule Detection with Learnable Non-Maximum Suppression. ISBI 2020: 1861-1865 - Zhenjie Chai, Kang Zhou, Jianlong Yang, Yuhui Ma, Zhi Chen, Shenghua Gao, Jiang Liu:
Perceptual-Assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography. ISBI 2020: 1966-1970 - Alireza Chamanzar, Yao Nie:
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation. ISBI 2020: 513-516 - Qi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas:
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI. ISBI 2020: 1752-1755 - Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni:
Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound. ISBI 2020: 1-5 - Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Xiaowei Xu, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang:
Zero-Shot Medical Image Artifact Reduction. ISBI 2020: 862-866 - I-Ling Chen, Tuan-Shu Ho, Chih-Wei Lu:
Full Field Optical Coherence Tomography Image Denoising Using Deep Learning with Spatial Compounding. ISBI 2020: 1975-1978 - Chong Chen, Yingmin Liu, Orlando P. Simonetti, Rizwan Ahmad:
Automatic Extraction and Sign Determination of Respiratory Signal in Real-Time Cardiac Magnetic Resonance Imaging. ISBI 2020: 1-4 - Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI 2020: 678-682 - Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan:
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI 2020: 288-291 - Zhiqi Chen, Yao Wang, Gadi Wollstein, María de los Angeles Ramos-Cadena, Joel S. Schuman, Hiroshi Ishikawa:
Macular GCIPL Thickness Map Prediction via Time-Aware Convolutional LSTM. ISBI 2020: 1-5 - Anqi Chen, Defu Yang, Chenggang Yan, Zi-Wen Peng, Minjeong Kim, Paul J. Laurienti, Guorong Wu:
A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks. ISBI 2020: 1416-1419 - Aritra Chowdhury, James R. Kubricht, Anup Sood, Peter H. Tu, Alberto Santamaría-Pang:
Escell: Emergent Symbolic Cellular Language. ISBI 2020: 1604-1607 - Gal Cohen, Hayit Greenspan, Jacob Goldberger:
Learning Probabilistic Fusion of Multilabel Lesion Contours. ISBI 2020: 767-771 - Baptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Olivier Colliot, Jian Yang:
Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyses of Grey-Matter. ISBI 2020: 404-407