MIDL 2019

47 papers

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

Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold

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

Unsupervised Lesion Detection via Image Restoration with a Normative Prior

Suhang You, Kerem C. Tezcan, Xiaoran Chen, Ender Konukoglu

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

Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter, Thomas J. Fuchs

Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris

Learning beamforming in ultrasound imaging

Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex Bronstein, Oleg Michailovich

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

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

Daniel Toth, Serkan Cimen, Pascal Ceccaldi, Tanja Kurzendorfer, Kawal Rhode

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

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

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

Roberto Souza, R. Marc Lebel, Richard Frayne

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

Richard Shaw, Carole Sudre, Sébastien Ourselin, M. Jorge Cardoso

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

Oindrila Saha, Rachana Sathish, Debdoot Sheet

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante

Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images

Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Gregory M. Riedlinger

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

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

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

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

Tanja Lossau (née Elss), Hannes Nickisch, Tobias Wissel, Samer Hakmi, Clemens Spink

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

Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez

DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation

Kyungmoon Lee, Min-Kook Choi, Heechul Jung

Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning

Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P.W. Pluim, Shantanu Singh

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

Seyed Mostafa Kia, Andre F. Marquand

Boundary loss for highly unbalanced segmentation

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz

Dynamic MRI Reconstruction with Motion-Guided Network

Qiaoying Huang, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu

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

Sparse Structured Prediction for Semantic Edge Detection in Medical Images

Lasse Hansen, Mattias P. Heinrich

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

Jannis Hagenah, Kenneth Kühl, Michael Scharfschwerdt, Floris Ernst

Generative Image Translation for Data Augmentation of Bone Lesion Pathology

Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig

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

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

Transfer Learning by Adaptive Merging of Multiple Models

Robin Geyer, Luca Corinzia, Viktor Wegmayr

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations

Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof

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

Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren

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

Deep Reinforcement Learning for Subpixel Neural Tracking

Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass

Digitally Stained Confocal Microscopy through Deep Learning

Marc Combalia, Javiera Pérez-Anker, Adriana García-Herrera, Llúcia Alos, Verónica Vilaplana

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

Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison

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

Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson

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

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

Max Blendowski, Mattias P. Heinrich

Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation

Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab

Image Synthesis with a Convolutional Capsule Generative Adversarial Network

Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell

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

Fabian Balsiger, Olivier Scheidegger, Pierre G. Carlier, Benjamin Marty, Mauricio Reyes

Exploring local rotation invariance in 3D CNNs with steerable filters

Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge

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

Amir H. Abdi, Heather Borgard, Purang Abolmaesumi, Sidney Fels