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Volume 121: Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada

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Editors: Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Christopher Pal

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Preface

Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Christopher Pal; PMLR 121:1-5

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model

Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer; PMLR 121:6-18

Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images

Jakob K. H. Andersen, Jakob Grauslund, Thiusius R. Savarimuthu; PMLR 121:19-32

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; PMLR 121:33-43

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; PMLR 121:44-61

A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy

Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek, Marius Staring; PMLR 121:62-74

A Learning Strategy for Contrast-agnostic MRI Segmentation

Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian Dalca; PMLR 121:75-93

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; PMLR 121:94-110

Fast Mitochondria Detection for Connectomics

Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn; PMLR 121:111-120

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; PMLR 121:121-135

On the limits of cross-domain generalization in automated X-ray prediction

Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand; PMLR 121:136-155

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; PMLR 121:156-173

3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks

Richard Du, Varut Vardhanabhuti; PMLR 121:174-192

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; PMLR 121:193-204

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; PMLR 121:205-216

Understanding Alzheimer disease’s structural connectivity through explainable AI

Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin; PMLR 121:217-229

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; PMLR 121:230-240

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; PMLR 121:241-261

Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention

Logan Gilmour, Nilanjan Ray; PMLR 121:262-276

Adversarial Domain Adaptation for Cell Segmentation

Mohammad Minhazul Haq, Junzhou Huang; PMLR 121:277-287

Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays

Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen; PMLR 121:288-303

An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images

Peter Hirsch, Dagmar Kainmueller; PMLR 121:304-321

DIVA: Domain Invariant Variational Autoencoders

Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling; PMLR 121:322-348

Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations

Padmaja Jonnalagedda, Brent Weinberg, Jason Allen, Bir Bhanu; PMLR 121:349-364

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed; PMLR 121:365-381

Skull R-CNN: A CNN-based network for the skull fracture detection

Zhuo Kuang, Xianbo Deng, Li Yu, Hang Zhang, Xian Lin, Hui Ma; PMLR 121:382-392

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning

Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier; PMLR 121:393-412

Continual Learning for Domain Adaptation in Chest X-ray Classification

Matthias Lenga, Heinrich Schulz, Axel Saalbach; PMLR 121:413-423

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; PMLR 121:424-439

Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing

Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara; PMLR 121:440-453

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; PMLR 121:454-464

Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks

Jasper Linmans, Jeroen van der Laak, Geert Litjens; PMLR 121:465-478

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; PMLR 121:479-492

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; PMLR 121:493-502

Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation

Brandon Mac, Alan R. Moody, April Khademi; PMLR 121:503-514

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; PMLR 121:515-526

DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration

Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray; PMLR 121:527-543

Deep Reinforcement Learning for Organ Localization in CT

Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze; PMLR 121:544-554

End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation

Nhat M. Nguyen, Nilanjan Ray; PMLR 121:555-569

Siamese Tracking of Cell Behaviour Patterns

Andreas Panteli, Deepak K. Gupta, Nathan Bruijn, Efstratios Gavves; PMLR 121:570-587

Multitask radiological modality invariant landmark localization using deep reinforcement learning

Vishwa S. Parekh, Bocchieri Alex E., Vladimir Braverman, Michael A. Jacobs; PMLR 121:588-600

Mutual information deep regularization for semi-supervised segmentation

Jizong Peng, Marco Pedersoli, Christian Desrosiers; PMLR 121:601-613

Towards multi-sequence MR image recovery from undersampled k-space data

Cheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou; PMLR 121:614-623

On Direct Distribution Matching for Adapting Segmentation Networks

Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida; PMLR 121:624-637

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; PMLR 121:638-654

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; PMLR 121:655-668

PathologyGAN: Learning deep representations of cancer tissue

Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan; PMLR 121:669-695

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; PMLR 121:696-708

Deep learning-based retinal vessel segmentation with cross-modal evaluation

Luisa Sanchez Brea, Danilo Andrade De Jesus, Stefan Klein, Theo van Walsum; PMLR 121:709-720

Tensor Networks for Medical Image Classification

Raghavendra Selvan, Erik B Dam; PMLR 121:721-732

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso; PMLR 121:733-742

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; PMLR 121:743-754

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni; PMLR 121:755-769

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; PMLR 121:770-783

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)

Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer; PMLR 121:784-794

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; PMLR 121:795-810

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; PMLR 121:811-826

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; PMLR 121:827-842

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; PMLR 121:843-856

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; PMLR 121:857-866

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; PMLR 121:867-880

An Auto-Encoder Strategy for Adaptive Image Segmentation

Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu; PMLR 121:881-891

Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping

Jinwei Zhang, Hang Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh Nguyen, Yi Wang; PMLR 121:892-902

SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention

Yichi Zhang, Lin Yuan, Yujia Wang, Jicong Zhang; PMLR 121:903-913

Direct estimation of fetal head circumference from ultrasound images based on regression CNN

Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz; PMLR 121:914-922

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; PMLR 121:923-936

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