Preface

Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Christopher Pal; Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:1-5

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]

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

[abs][Download PDF]