MIDL 2020

65 papers

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

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

Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz

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

Yichi Zhang, Lin Yuan, Yujia Wang, Jicong Zhang

Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping

Jinwei Zhang, Hang Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh Nguyen

An Auto-Encoder Strategy for Adaptive Image Segmentation

Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu

Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives

Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk

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

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

Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening

Nan Wu, Stanisław Jastrzebski, Jungkyu Park, Linda Moy, Kyunghyun Cho

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

Domain adaptation model for retinopathy detection from cross-domain OCT images

Jing Wang, Yiwei Chen, Wanyue Li, Wen Kong, Yi He

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

Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning

David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk Grünhagen, Pieter Nierop

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni

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

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

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

Tensor Networks for Medical Image Classification

Raghavendra Selvan, Erik B Dam

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

Luisa Sanchez Brea, Danilo Andrade De Jesus, Stefan Klein, Theo van Walsum

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

PathologyGAN: Learning deep representations of cancer tissue

Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan

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

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

On Direct Distribution Matching for Adapting Segmentation Networks

Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

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

Cheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou

Mutual information deep regularization for semi-supervised segmentation

Jizong Peng, Marco Pedersoli, Christian Desrosiers

Multitask radiological modality invariant landmark localization using deep reinforcement learning

Vishwa S. Parekh, Bocchieri Alex E., Vladimir braverman, Michael A. Jacobs

Siamese Tracking of Cell Behaviour Patterns

Andreas Panteli, Deepak K. Gupta, Nathan Bruijn, Efstratios Gavves

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

Nhat M. Nguyen, Nilanjan Ray

Deep Reinforcement Learning for Organ Localization in CT

Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs

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

Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray

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

Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation

Brandon Mac, Alan R. Moody, April Khademi

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

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv

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

Jasper Linmans, Jeroen van der Laak, Geert Litjens

Laplacian pyramid-based complex neural network learning for fast MR imaging

Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan

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

Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

Wanyue Li, Wen Kong, Yiwei Chen, Jing Wang, Yi He

Continual Learning for Domain Adaptation in Chest X-ray Classification

Matthias Lenga, Heinrich Schulz, Axel Saalbach

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning

Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier

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

Zhuo Kuang, Xianbo Deng, Li Yu, Hang Zhang, Xian Lin

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

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed

Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations

Padmaja Jonnalagedda, Brent Weinberg, Jason Allen, Bir Bhanu

DIVA: Domain Invariant Variational Autoencoders

Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling

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

Peter Hirsch, Dagmar Kainmueller

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

Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen

Adversarial Domain Adaptation for Cell Segmentation

Mohammad Minhazul Haq, Junzhou Huang

Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention

Logan Gilmour, Nilanjan Ray

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

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

Understanding Alzheimer disease’s structural connectivity through explainable AI

Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin

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

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

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

Richard Du, Varut Vardhanabhuti

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation

Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang

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

Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand

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

Fast Mitochondria Detection for Connectomics

Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn

Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation

Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar

A Learning Strategy for Contrast-agnostic MRI Segmentation

Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias

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

Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek, Marius Staring

Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification

Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido Wingen

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans

Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joel Castelli, Hesham Elhalawani

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

Jakob K. H. Andersen, Jakob Grauslund, Thiusius R. Savarimuthu

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

Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim