MIDL 2019 Conference Abstract Submissions

Automated interpretation of prenatal ultrasound using a predefined acquisition protocol in resource-limited countries
Thomas L. A. van den Heuvel, Chris L. de Korte, Bram van Ginneken
- 12 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Applying simultaneous super-resolution and contrast synthesis to routine clinical magnetic resonance images for automated segmentation of knee joint cartilage
Ales Neubert, Pierrick Bourgeat, Jason Wood, Craig Engstrom, Shekhar S. Chandra, Stuart Crozier, Jurgen Fripp
- 12 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Extended 2D Consensus Hippocampus Segmentation
Diedre Carmo, Bruna Silva, Clarissa Yasuda, Leticia Rittner, Roberto Lotufo
- 12 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Caveats in Generating Medical Imaging Labels from Radiology Reports with Natural Language Processing
Tobi Olatunji, Li Yao, Ben Covington, Anthony Upton
- 12 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Spatio-temporal regularization for deep MR Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Mike Davies, Marion I. Menzel, Pedro A. Gomez
- 12 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Metric Learning for Patch Classification in Digital Pathology
Eu Wern Teh, Graham W. Taylor
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Pathological Myopic Image Analysis with Transfer Learning
Ruitao Xie, Libo Liu, Jingxin Liu, Connor S Qiu
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
David Zimmerer, Simon Kohl, Jens Petersen, Fabian Isensee, Klaus Maier-Hein
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanisław Jastrzębski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Joshua D. Weinstein, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen et al. (12 additional authors not shown)
- 11 Apr 2019 (modified: 03 Nov 2024)
- MIDL Abstract 2019
- Readers: Everyone
Machine learning with electroencephalography features for precise diagnosis of depression subtypes
Maria Zelenina, Diana Maria Pinto Prata
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
A Multi-Task Self-Normalizing 3D-CNN to Infer Tuberculosis Radiological Manifestations
Pedro M. Gordaliza, Juan José Vaquero, Sally Sharpe, Fergus Gleeson, Arrate Muñoz-Barrutia
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Deep Fully Convolutional Network for MR Fingerprinting
Dongdong Chen, Mohammad Golbabaee, Pedro A Gómez, Marion I Menzel, Mike E Davies
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images
Rune Wetteland, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad, Emilius A.M. Janssen
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
Nils Gessert, Alexander Schlaefer
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
BACH: grand challenge on breast cancer histology images
Guilherme Aresta, Teresa Araújo, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar
- 11 Apr 2019 (modified: 03 Nov 2024)
- MIDL Abstract 2019
- Readers: Everyone
Towards End-to-End Image-to-Tree for Vasculature Modeling
Manish Sharma, Matthew C. H. Lee, James Batten, Michiel Schaap, Ben Glocker
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Major Vessel Segmentation on X-ray Coronary Angiography using Deep Networks with a Novel Penalty Loss Function
Su Yang, Jihoon Kweon, Young-Hak Kim
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Low dose SPECT image denoising using a generative adversarial network
Qi Zhang, Jingzhang Sun, Greta S. P. Mok
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows
Suguru Yasutomi, Tatsuya Arakaki, Ryuji Hamamoto
- 11 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Deep Learning Segmentation in 2D echocardiography using the CAMUS dataset : Automatic Assessment of the Anatomical Shape Validity
Sarah Leclerc, Erik Smistad, Andreas Ostvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Lasse Lovstakken, Olivier Bernard
- 10 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3D
Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Giles Tetteh, Velizar Efremov, Mihail I. Todorov, Ruiyao Cai, Hongcheng Mai, Zhouyi Rong, Ali Ertuerk, Bjoern H. Menze
- 10 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANs
Tycho F.A. van der Ouderaa, Daniel E. Worrall, Bram van Ginneken
- 10 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Sequential Rib Labeling and Segmentation in Chest X-Ray using Mask R-CNN
Joeran Wessel, Mattias P. Heinrich, Jens von Berg, Astrid Franz, Axel Saalbach
- 10 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Stratify or Inject: Two Simple Training Strategies to Improve Brain Tumor Segmentation
Raphael Meier, Michael Rebsamen, Urspeter Knecht, Mauricio Reyes, Roland Wiest, Richard McKinley
- 10 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone
Template Transformer Networks for Image Segmentation
Matthew Chung Hai Lee, Kersten Petersen, Nick Pawlowski, Ben Glocker, Michiel Schaap
- 10 Apr 2019 (modified: 05 May 2023)
- MIDL Abstract 2019
- Readers: Everyone