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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 102: International Conference on Medical Imaging with Deep Learning, 8-10 July 2019, London, United Kingdom

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Editors: M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde Unal, Tom Vercauteren

[bib][citeproc]

Contents:

  • Preface
  • Contributed Papers

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Preface

Preface

M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde Unal, Tom Vercauteren; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:1-3

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Contributed Papers

AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis

; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:4-14

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Exploring local rotation invariance in 3D CNNs with steerable filters

Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:15-26

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On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting

Fabian Balsiger, Olivier Scheidegger, Pierre G. Carlier, Benjamin Marty, Mauricio Reyes; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:27-38

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Image Synthesis with a Convolutional Capsule Generative Adversarial Network

Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:39-62

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Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation

Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:63-72

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Learning interpretable multi-modal features for alignment with supervised iterative descent

Max Blendowski, Mattias P. Heinrich; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:73-83

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Learning from sparsely annotated data for semantic segmentation in histopathology images

John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:84-91

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Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data

Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:92-108

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Deep Hierarchical Multi-label Classification of Chest X-ray Images

Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:109-120

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Digitally Stained Confocal Microscopy through Deep Learning

Marc Combalia, Javiera Pérez-Anker, Adriana García-Herrera, Llúcia Alos, Verónica Vilaplana, Ferran Marqués, Susana Puig, Josep Malvehy; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:121-129

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Deep Reinforcement Learning for Subpixel Neural Tracking

Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatulzehra Uslu, Vincenzo de Paola, Claudia Clopath, Anil Anthony Bharath; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:130-150

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Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology

Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:151-163

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Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sebastien Ourselin, Tom Vercauteren; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:164-174

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Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations

Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:175-184

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Transfer Learning by Adaptive Merging of Multiple Models

Robin Geyer, Luca Corinzia, Viktor Wegmayr; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:185-196

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Assessing Knee OA Severity with CNN attention-based end-to-end architectures

Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O’Connor; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:197-214

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Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology

Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:215-224

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Generative Image Translation for Data Augmentation of Bone Lesion Pathology

Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:225-235

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Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations

Jannis Hagenah, Kenneth Kühl, Michael Scharfschwerdt, Floris Ernst; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:236-249

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Sparse Structured Prediction for Semantic Edge Detection in Medical Images

Lasse Hansen, Mattias P. Heinrich; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:250-259

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Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation

Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:260-272

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Dynamic MRI Reconstruction with Motion-Guided Network

Qiaoying Huang, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris Metaxas; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:275-284

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Boundary loss for highly unbalanced segmentation

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:285-296

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Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data

Seyed Mostafa Kia, Andre F. Marquand; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:297-314

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Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning

Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P.W. Pluim, Shantanu Singh, Mitko Veta; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:315-325

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DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation

Kyungmoon Lee, Min-Kook Choi, Heechul Jung; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:326-336

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Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography

Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:337-346

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Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs

Tanja Lossau (née Elss), Hannes Nickisch, Tobias Wissel, Samer Hakmi, Clemens Spink, Michael M. Morlock, Michael Grass; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:347-357

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Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images

Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:358-369

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A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps

Huu-Giao Nguyen, Alessia Pica, Jan Hrbacek, Damien C. Weber, Francesco La Rosa, Ann Schalenbourg, Raphael Sznitman, Meritxell Bach Cuadra; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:370-379

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High-quality segmentation of low quality cardiac MR images using k-space artefact correction

Ilkay Oksuz, James Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastao Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:380-389

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Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images

Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:390-400

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Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:401-413

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Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images

Oindrila Saha, Rachana Sathish, Debdoot Sheet; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:414-426

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MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty

Richard Shaw, Carole Sudre, Sebastien Ourselin, M. Jorge Cardoso; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:427-436

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A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction

Roberto Souza, R. Marc Lebel, Richard Frayne; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:437-446

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3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects

Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Sébastien Ourselin, Rolf H. Jäger, M. Jorge Cardoso; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:447-456

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XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation

You-Bao Tang, Yu-Xing Tang, Jing Xiao, Ronald M. Summers; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:457-467

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Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions

Daniel Toth, Serkan Cimen, Pascal Ceccaldi, Tanja Kurzendorfer, Kawal Rhode, Peter Mountney; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:468-482

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Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data

Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas L. Arnold, Tal Arbel; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:483-492

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Learning beamforming in ultrasound imaging

Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:493-511

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Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:512-526

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VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation

Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter, Thomas J. Fuchs; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:527-539

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Unsupervised Lesion Detection via Image Restoration with a Normative Prior

Suhang You, Kerem C. Tezcan, Xiaoran Chen, Ender Konukoglu; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:540-556

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Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth

Farhad Ghazvinian Zanjani, David Anssari Moin, Bas Verheij, Frank Claessen, Teo Cherici, Tao Tan, Peter H. N. de With; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:557-571

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SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:572-587

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CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data

Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng; Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning, PMLR 102:588-597

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