MIDL Submissions

Understanding and Visualizing Generalization in UNets
Abhejit Rajagopal, Vamshi Chowdary Madala, Thomas A Hope, Peder Larson
- Feb 11, 2021 (edited Aug 03, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Memory U-Net: Memorizing Where to Vote for Lesion Instance Segmentation
Hang Zhang, Jinwei Zhang, Gufeng Yang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
- Feb 08, 2021 (edited Jul 30, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Common limitations of performance metrics in biomedical image analysis
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Anne Lousise Martel, bjoern menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
- Apr 01, 2021 (edited Jul 08, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer
- Feb 09, 2021 (edited Jul 01, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Learning to Represent Whole Slide Images by Selecting Cell Graphs of Patches
Yinan Zhang, Beril Besbinar, Pascal Frossard
- Apr 06, 2021 (edited Jun 30, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Localizing neurosurgical instruments across domains and in the wild
Markus Philipp, Anna Alperovich, Marielena Gutt-Will, Andrea Mathis, Stefan Saur, Andreas Raabe, Franziska Mathis-Ullrich
- Feb 10, 2021 (edited Jun 19, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Automated triaging of head MRI examinations using convolutional neural networks
David A Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth Barker, Sebastien Ourselin, James H Cole, Thomas C Booth
- Jan 27, 2021 (edited Jun 15, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound
Daniel Wulff, Jannis Hagenah, Floris Ernst
- Apr 06, 2021 (edited Jun 15, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Weakly supervised 3D ConvLSTMs for high precision Monte-Carlo radiotherapy dose simulations
Sonia Martinot, Norbert Bus, Maria Vakalopoulou, charlotte robert, Eric Deutsch, Nikos Paragios
- Apr 07, 2021 (edited Jun 15, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning
Bram de Wilde, Richard P. G. ten Broek, henkjan huisman
- Apr 06, 2021 (edited Jun 15, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Ex-vivo - to - In-vivo Learning in Cardiology
Alexander M. Zolotarev, Oleg Y. Rogov, Aleksei V. Mikhailov, John D. Hummel, Vadim V Fedorov, Dmitry V. Dylov
- Apr 07, 2021 (edited Jun 07, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Echocardiographic Phase Detection Using Neural Networks
Elisabeth Sarah Lane, Neda Azarmehr, Jevgeni Jevsikov, James P Howard, Matthew Shun-shin, Darrel P Francis, Massoud Zolgharni
- Mar 17, 2021 (edited Jun 07, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior
Jannis Hagenah, Floris Ernst
- Feb 10, 2021 (edited Jun 04, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Multimodal Generative Learning on the MIMIC-CXR Database
Hendrik J. Klug, Thomas M. Sutter, Julia E Vogt
- Apr 06, 2021 (edited Jun 03, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Me-NDT: Neural-backed Decision Tree for Visual Explainability of Deep Medical Models
Guanghui FU, Ruiqian Wang, Jianqiang Li, Maria Vakalopoulou, Vicky Kalogeiton
- Apr 06, 2021 (edited Jun 01, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
$\mu$PEN: Multi-class PseudoEdgeNet for PD-L1 assessment
Jeroen Vermazeren, Leander van Eekelen, Luca Dulce Meesters, Monika Looijen-Salamon, Shoko Vos, Enrico Munari, Caner Mercan, Francesco Ciompi
- Apr 06, 2021 (edited Jun 01, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets
Niamh Belton, Kathleen M Curran, Aonghus Lawlor
- Apr 06, 2021 (edited Jun 01, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Efficient biomedical image segmentation on Edge TPUs
Andreas M Kist, Michael Döllinger
- Apr 06, 2021 (edited Jun 01, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Predicting molecular subtypes of breast cancer using multimodal deep learning and incorporation of the attention mechanism
Tianyu Zhang, Luyi Han, Yuan Gao, Xin Wang, Regina Beets-Tan, Ritse Mann
- Apr 04, 2021 (edited Jun 01, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
Brennan Nichyporuk, Justin Szeto, Douglas Arnold, Tal Arbel
- Apr 09, 2021 (edited Jun 01, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Cycle Consistent Embedding of 3D Brains with Auto-Encoding Generative Adversarial Networks
Shibo Xing, Harsh Sinha, Seong Jae Hwang
- Apr 07, 2021 (edited May 31, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
- Feb 09, 2021 (edited May 31, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
Cher Bass, Mariana da Silva, Carole H. Sudre, Logan Zane John Williams, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew Glasser, Stephen M. Smith, Emma Claire Robinson
- Apr 01, 2021 (edited May 31, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Model
Simeon Emilov Spasov, Alexander Campbell, Giovana Dimitri, Alessandro Di Stefano, franco scarselli, Pietro Lio
- Apr 06, 2021 (edited May 31, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Double adversarial domain adaptation for whole-slide-imageclassification
Yuchen Yang, Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras
- Apr 05, 2021 (edited May 29, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone