MIDL Submissions

Towards Manifold Learning of Image-Based Motion Models for Oscillating Vocal Folds
Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier
- Apr 17, 2019 (edited May 05, 2021)
- MIDL 2019 Conference Abstract Submission
- Readers: Everyone
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Qian He, Shuailin Li, Xuming He
- Feb 09, 2021 (edited Apr 26, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
- Feb 08, 2021 (edited Apr 26, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping
Carolin Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Michela Tosetti, Mauro Costagli, Guido Buonincontri, Marion Menzel, bjoern menze
- Feb 10, 2021 (edited Apr 26, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
Attila Tibor Simko, Tommy Löfstedt, Anders Garpebring, Mikael Bylund, Tufve Nyholm, Joakim Jonsson
- Feb 10, 2021 (edited Apr 26, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Amirhossein Bayat, yu zhao, bjoern menze
- Jan 25, 2021 (edited Apr 25, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Explainable Image Quality Analysis of Chest X-Rays
Caner Ozer, Ilkay Oksuz
- Feb 09, 2021 (edited Apr 25, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
- Feb 10, 2021 (edited Apr 24, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal $\beta$-Amyloid Data
Md Asadullah Turja, Guorong Wu, Defu Yang, Martin Andreas Styner
- Feb 11, 2021 (edited Apr 24, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation
Rosana EL Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
- Feb 10, 2021 (edited Apr 23, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
SWNet: Surgical Workflow Recognition with Deep Convolutional Network
Bokai Zhang, Amer Ghanem, Alexander Simes, Henry Choi, Andrew Yoo, Andrew Min
- Feb 03, 2021 (edited Apr 23, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Benefits of Linear Conditioning for Segmentation using Metadata
Andreanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
- Feb 09, 2021 (edited Apr 22, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Balanced sampling for an object detection problem - application to fetal anatomies detection
Antoine Olivier, Caroline Raynaud
- Feb 04, 2021 (edited Apr 22, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details
Matteo Dunnhofer, Niki Martinel, Christian Micheloni
- Jan 27, 2021 (edited Apr 21, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
Lennart Bargsten, Katharina A. Riedl, Tobias Wissel, Fabian J. Brunner, Klaus Schaefers, Michael Grass, Stefan Blankenberg, Moritz Seiffert, Alexander Schlaefer
- Feb 08, 2021 (edited Apr 21, 2021)
- MIDL 2021 Conference 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 Apr 21, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
- Jan 27, 2021 (edited Apr 21, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
An MRF-UNet Product of Experts for Image Segmentation
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
- Feb 10, 2021 (edited Apr 21, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Semantic similarity metrics for learned image registration
Steffen Czolbe, Oswin Krause, Aasa Feragen
- Feb 04, 2021 (edited Apr 21, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
“Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition
Daniel Neimark, Omri Bar, Maya Zohar, Gregory D. Hager, Dotan Asselmann
- Feb 08, 2021 (edited Apr 21, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
Fahdi Kanavati, Masayuki Tsuneki
- Feb 08, 2021 (edited Apr 20, 2021)
- MIDL 2021 Conference Submission
- Readers: Everyone
Domain Adaption for Homogenizing CT Scans using Auto-Encoders for Cross-Dataset Medical Image Analysis
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
- Apr 10, 2021 (edited Apr 20, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Reconstruction and coil combination of undersampled concentric-ring MRSI data using a Graph U-Net
Paul Weiser, Stanislav Motyka, Georg Langs, Wolfgang Bogner
- Apr 10, 2021 (edited Apr 20, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Gated CNNs for Nuclei Segmentation in H&E Breast Images
Shana Beniamin, April Khademi, Dimitri Androutsos
- Apr 10, 2021 (edited Apr 20, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone
Transfer learning works in neuroimaging via feature re-use
Peter Holderrieth, Weikang Gong, Stephen M. Smith, Han Peng
- Apr 09, 2021 (edited Apr 20, 2021)
- MIDL 2021 Conference Short Submission
- Readers: Everyone