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

[edit]

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

[bib][citeproc]

Contents:

Preface

Preface

M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde Unal, Tom Vercauteren ; PMLR 102:1-3

Contributed Papers

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

Amir H. Abdi, Heather Borgard, Purang Abolmaesumi, Sidney Fels ; PMLR 102:4-14

Exploring local rotation invariance in 3D CNNs with steerable filters

Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge ; PMLR 102:15-26

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

Fabian Balsiger, Olivier Scheidegger, Pierre G. Carlier, Benjamin Marty, Mauricio Reyes ; PMLR 102:27-38

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 ; PMLR 102:39-62

Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation

Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab ; PMLR 102:63-72

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

Max Blendowski, Mattias P. Heinrich ; PMLR 102:73-83

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 ; PMLR 102:84-91

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 ; PMLR 102:92-108

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

Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison ; PMLR 102:109-120

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 ; PMLR 102:121-129

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 ; PMLR 102:130-150

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 ; PMLR 102:151-163

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

Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sebastien Ourselin, Tom Vercauteren ; PMLR 102:164-174

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations

Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof ; PMLR 102:175-184

Transfer Learning by Adaptive Merging of Multiple Models

Robin Geyer, Luca Corinzia, Viktor Wegmayr ; PMLR 102:185-196

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 ; PMLR 102:197-214

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 ; PMLR 102:215-224

Generative Image Translation for Data Augmentation of Bone Lesion Pathology

Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig ; PMLR 102:225-235

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

Jannis Hagenah, Kenneth Kühl, Michael Scharfschwerdt, Floris Ernst ; PMLR 102:236-249

Sparse Structured Prediction for Semantic Edge Detection in Medical Images

Lasse Hansen, Mattias P. Heinrich ; PMLR 102:250-259

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 ; PMLR 102:260-272

Dynamic MRI Reconstruction with Motion-Guided Network

Qiaoying Huang, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris Metaxas ; PMLR 102:275-284

Boundary loss for highly unbalanced segmentation

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed ; PMLR 102:285-296

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

Seyed Mostafa Kia, Andre F. Marquand ; PMLR 102:297-314

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 ; PMLR 102:315-325

DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation

Kyungmoon Lee, Min-Kook Choi, Heechul Jung ; PMLR 102:326-336

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

Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez ; PMLR 102:337-346

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 ; PMLR 102:347-357

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 ; PMLR 102:358-369

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 ; PMLR 102:370-379

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 ; PMLR 102:380-389

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 ; PMLR 102:390-400

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante ; PMLR 102:401-413

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

Oindrila Saha, Rachana Sathish, Debdoot Sheet ; PMLR 102:414-426

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

Richard Shaw, Carole Sudre, Sebastien Ourselin, M. Jorge Cardoso ; PMLR 102:427-436

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

Roberto Souza, R. Marc Lebel, Richard Frayne ; PMLR 102:437-446

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 ; PMLR 102:447-456

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 ; PMLR 102:457-467

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 ; PMLR 102:468-482

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 ; PMLR 102:483-492

Learning beamforming in ultrasound imaging

Sanketh Vedula, Grigoriy Senouf, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky ; PMLR 102:493-511

Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris ; PMLR 102:512-526

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

Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter, Thomas J. Fuchs ; PMLR 102:527-539

Unsupervised Lesion Detection via Image Restoration with a Normative Prior

Suhang You, Kerem C. Tezcan, Xiaoran Chen, Ender Konukoglu ; PMLR 102:540-556

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 ; PMLR 102:557-571

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 ; PMLR 102:572-587

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

Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng ; PMLR 102:588-597

subscribe via RSS

This site last compiled Tue, 28 May 2019 07:03:17 +0000
Github Account Copyright © PMLR 2019. All rights reserved.