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Editors: Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Christopher Pal
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Preface
; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:1-5
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4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:6-18
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Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images
Jakob K. H. Andersen, Jakob Grauslund, Thiusius R. Savarimuthu; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:19-32
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Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans
Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joel Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:33-43
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Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido Wingen, Marcel Worring, Rajat Mani Thomas; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:44-61
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A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek, Marius Staring; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:62-74
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A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian Dalca; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:75-93
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Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation
Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:94-110
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Fast Mitochondria Detection for Connectomics
Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:111-120
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Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training
Kaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:121-135
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On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:136-155
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Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:156-173
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3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks
Richard Du, Varut Vardhanabhuti; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:174-192
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Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone
Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:193-204
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Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography
Pierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:205-216
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Understanding Alzheimer disease’s structural connectivity through explainable AI
Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:217-229
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Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain
Ahmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:230-240
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A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:241-261
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Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention
Logan Gilmour, Nilanjan Ray; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:262-276
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Adversarial Domain Adaptation for Cell Segmentation
Mohammad Minhazul Haq, Junzhou Huang; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:277-287
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Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:288-303
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An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch, Dagmar Kainmueller; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:304-321
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DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:322-348
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Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations
Padmaja Jonnalagedda, Brent Weinberg, Jason Allen, Bir Bhanu; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:349-364
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Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:365-381
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Skull R-CNN: A CNN-based network for the skull fracture detection
Zhuo Kuang, Xianbo Deng, Li Yu, Hang Zhang, Xian Lin, Hui Ma; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:382-392
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Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:393-412
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Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga, Heinrich Schulz, Axel Saalbach; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:413-423
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Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks
Wanyue Li, Wen Kong, Yiwei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:424-439
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Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:440-453
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Laplacian pyramid-based complex neural network learning for fast MR imaging
Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:454-464
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Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
Jasper Linmans, Jeroen van der Laak, Geert Litjens; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:465-478
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How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:479-492
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Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
Da Ma, Donghuan Lu, Morgan Heisler, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:493-502
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Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
Brandon Mac, Alan R. Moody, April Khademi; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:503-514
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KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:515-526
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DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:527-543
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Deep Reinforcement Learning for Organ Localization in CT
Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:544-554
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End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation
Nhat M. Nguyen, Nilanjan Ray; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:555-569
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Siamese Tracking of Cell Behaviour Patterns
Andreas Panteli, Deepak K. Gupta, Nathan Bruijn, Efstratios Gavves; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:570-587
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Multitask radiological modality invariant landmark localization using deep reinforcement learning
Vishwa S. Parekh, Bocchieri Alex E., Vladimir Braverman, Michael A. Jacobs; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:588-600
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Mutual information deep regularization for semi-supervised segmentation
Jizong Peng, Marco Pedersoli, Christian Desrosiers; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:601-613
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Towards multi-sequence MR image recovery from undersampled k-space data
Cheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:614-623
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On Direct Distribution Matching for Adapting Segmentation Networks
Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:624-637
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Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
Carolin M. Pirk, Pedro A. Gomez, Ilona Lipp, Guido Buonincontri, Miguel Molina-Romero, Anjany Sekuboyina, Diana Waldmannstetter, Jonathan Dannenberg, Sebastian Endt, Alberto Merola, Joseph R. Whittaker, Valentina Tomassini, Michela Tosetti, Derek K. Jones, Bjoern H. Menze, Marion Menzel; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:638-654
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Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Ahmad B. Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipkova, Hongwei Li, Bjoern Menze; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:655-668
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PathologyGAN: Learning deep representations of cancer tissue
Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:669-695
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MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:696-708
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Deep learning-based retinal vessel segmentation with cross-modal evaluation
Luisa Sanchez Brea, Danilo Andrade De Jesus, Stefan Klein, Theo van Walsum; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:709-720
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Tensor Networks for Medical Image Classification
Raghavendra Selvan, Erik B Dam; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:721-732
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A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:733-742
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Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Luyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:743-754
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Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:755-769
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Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen Laak, Francesco Ciompi; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:770-783
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Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:784-794
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Domain adaptation model for retinopathy detection from cross-domain OCT images
Jing Wang, Yiwei Chen, Wanyue Li, Wen Kong, Yi He, Chuihui Jiang, Guohua Shi; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:795-810
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Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:811-826
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Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
Nan Wu, Stanisław Jastrzębski, Jungkyu Park, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:827-842
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Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning
Chensu Xie, Hassan Muhammad, Chad M. Vanderbilt, Raul Caso, Dig Vijay Kumar Yarlagadda, Gabriele Campanella, Thomas J. Fuchs; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:843-856
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Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:857-866
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Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel Rubin; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:867-880
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An Auto-Encoder Strategy for Adaptive Image Segmentation
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:881-891
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Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping
Jinwei Zhang, Hang Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh Nguyen, Yi Wang; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:892-902
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SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention
Yichi Zhang, Lin Yuan, Yujia Wang, Jicong Zhang; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:903-913
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Direct estimation of fetal head circumference from ultrasound images based on regression CNN
Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:914-922
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Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning
Maya Zohar, Omri Bar, Daniel Neimark, Gregory D. Hager, Dotan Asselmann; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:923-936
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