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MIDL 2020

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65 papertalks found

06/07/2020

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

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4:59

06/07/2020

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

Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen

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4:56

06/07/2020

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.

Ahmad B. Qasim, Ivan Ezhov, Suprosanna Shit and
Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipkova, Hongwei Li, Bjoern Menze

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4:32

06/07/2020

An Auto-Encoder Strategy for Adaptive Image Segmentation

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

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5:00

06/07/2020

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow

Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran and
Keerthi Ram, Mohanasankar Sivaprakasam

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4:14

06/07/2020

Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation

Brandon Mac, Alan R. Moody, April Khademi

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4:59

06/07/2020

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

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

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4:47

06/07/2020

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

Nhat M. Nguyen, Nilanjan Ray

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4:46

06/07/2020

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

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

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4:59

06/07/2020

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 and
Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg

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5:00

06/07/2020

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

Wanyue Li, Wen Kong, Yiwei Chen and
Jing Wang, Yi He, Guohua Shi, Guohua Deng

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5:00

06/07/2020

Mutual information deep regularization for semi-supervised segmentation

Jizong Peng, Marco Pedersoli, Christian Desrosiers

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14:24

06/07/2020

Understanding Alzheimer disease’s structural connectivity through explainable AI

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

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5:03

06/07/2020

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

Francesco Calivá, Andrew P. Leynes, Rutwik Shah and
Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia

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5:00

06/07/2020

Continual Learning for Domain Adaptation in Chest X-ray Classification

Matthias Lenga, Heinrich Schulz, Axel Saalbach

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5:17

06/07/2020

Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography

Pierre Erbacher, Carole Lartizien, Matthieu Martin and
Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre

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4:47

06/07/2020

Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning

Chensu Xie, Hassan Muhammad, Chad M. Vanderbilt and
Raul Caso, Dig Vijay Kumar Yarlagadda, Gabriele Campanella, Thomas J. Fuchs

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14:34

06/07/2020

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

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

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4:59

06/07/2020

On Direct Distribution Matching for Adapting Segmentation Networks

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

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4:59

06/07/2020

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)

David A. Wood, Jeremy Lynch, Sina Kafiabadi and
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

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15:17

06/07/2020

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

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

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4:50

06/07/2020

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning

David Tellez, Diederik Höppener, Cornelis Verhoef and
Dirk Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen Laak, Francesco Ciompi

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12:21

06/07/2020

Adversarial Domain Adaptation for Cell Segmentation

Mohammad Minhazul Haq, Junzhou Huang

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4:14

06/07/2020

Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention

Logan Gilmour, Nilanjan Ray

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14:56

06/07/2020

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

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

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15:00

06/07/2020

A Learning Strategy for Contrast-agnostic MRI Segmentation

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

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15:00

06/07/2020

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

Nan Wu, Stanisław Jastrzębski, Jungkyu Park and
Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

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4:48

06/07/2020

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

Yukun Ding, Jinglan Liu, Xiaowei Xu and
Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi

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14:58

06/07/2020

Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations

Padmaja Jonnalagedda, Brent Weinberg, Jason Allen, Bir Bhanu

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4:57

06/07/2020

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

Jasper Linmans, Jeroen van der Laak, Geert Litjens

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4:44

06/07/2020

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

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

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5:00

06/07/2020

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

Richard Du, Varut Vardhanabhuti

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3:50

06/07/2020

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

Vincent Andrearczyk, Valentin Oreiller, Martin Vallières and
Joel Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge

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4:31

06/07/2020

PathologyGAN: Learning deep representations of cancer tissue

Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan

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5:00

06/07/2020

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

Devanshu Arya, Richard Olij, Deepak K. Gupta and
Ahmed El Gazzar, Guido Wingen, Marcel Worring, Rajat Mani Thomas

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5:00

06/07/2020

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

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

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14:58

06/07/2020

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting

Carolin M. Pirk, Pedro A. Gomez, Ilona Lipp and
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

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4:59

06/07/2020

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

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

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4:42

06/07/2020

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

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

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5:00

06/07/2020

Siamese Tracking of Cell Behaviour Patterns

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

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4:47

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