MIDL 2021 Conference Short Submissions

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
- 10 Apr 2021 (modified: 16 May 2023)
- Submitted to MIDL 2021
- Readers: Everyone
Reconstruction and coil combination of undersampled concentric-ring MRSI data using a Graph U-Net
Paul Weiser, Stanislav Motyka, Wolfgang Bogner, Georg Langs
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Gated CNNs for Nuclei Segmentation in H&E Breast Images
Shana Beniamin, April Khademi, Dimitri Androutsos
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
Brennan Nichyporuk, Justin Szeto, Douglas Arnold, Tal Arbel
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Breast cancer patient stratification using domain adaptation based lymphocyte detection in HER2 stained tissue sections
Ansh Kapil, Armin Meier, Anatoliy Shumilov, Susanne Haneder, Helen Angell, Günter Schmidt
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Virtual Bone Shape Aging
Francesco Caliva, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Application of Deep Supervised Learning to Nailfold videocapillaroscopy and Red Blood Cells Velocity Approximation
Alexey Valerievich Kornaev, Dmitry Dmitrievich Stavtsev, Elena Petrovna Kornaeva, Mikhail Vladimirovich Volkov
- 09 Apr 2021 (modified: 16 May 2023)
- Submitted to MIDL 2021
- Readers: Everyone
Multi-task lesion segmentation with a lightweight U$^2$-Net to enhance explainability of mobile screening systems for diabetic retinopathy
Marlin Siebert, Philipp Rostalski
- 09 Apr 2021 (modified: 16 May 2023)
- Submitted to MIDL 2021
- Readers: Everyone
3D segmentation of perivascular spaces on T1-weighted 3 Tesla MR images with convolutional autoencoder and U-shaped neural networks
Marc Joliot, Ami Tsuchida, Alexandre Laurent, Violaine Verrecchia, Christophe Tzourio, Bernard Mazoyer, Philippe Boutinaud
- 09 Apr 2021 (modified: 16 May 2023)
- Submitted to MIDL 2021
- Readers: Everyone
Learning a Metric without Supervision: Multimodal Registration using Synthetic Cycle Discrepancy
Hanna Siebert, Lasse Hansen, Mattias P Heinrich
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Transfer Learning for Automated Anterograde Tracer Signal Segmentation in Marmoset Brain Microscopy Images
Febrian Rachmadi, Akiya Watakabe, Tetsuo Yamamori, henrik skibbe
- 09 Apr 2021 (modified: 16 May 2023)
- Submitted to MIDL 2021
- Readers: Everyone
Radiographic Assessment of CVC Malpositioning: How can AI best support clinicians?
Lasse Hansen, Malte Sieren, Malte Hobe, Axel Saalbach, Heinrich Schulz, Jörg Barkhausen, Mattias P Heinrich
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Semi-supervised Image-to-Image translation for robust image registration
henrik skibbe, akiya watakabe, Febrian Rachmadi, Carlos Enrique Gutierrez, Ken Nakae, tetsuo yamamori
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Rethinking the Design of Learning based Inter-Patient Registration using Deformable Supervoxels
Mattias P Heinrich
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
A hybrid model- and deep learning-based framework for functional lung image synthesis from non-contrast multi-inflation CT
Joshua Russell Astley, Alberto M Biancardi, Helen Marshall, Guilhem J Collier, Paul JC Hughes, Jim M Wild, Bilal A Tahir
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Self-supervised Visual Place Recognition for Colonoscopy Sequences
Javier Morlana, Pablo Azagra Millán, Javier Civera, José M. M. Montiel
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Cycle Consistent Embedding of 3D Brains with Auto-Encoding Generative Adversarial Networks
Shibo Xing, Harsh Sinha, Seong Jae Hwang
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Towards single-stage prediction of vertebrae segmentation for opportunistic screening of 3D CT scans
Hellena Hempe, Mattias P Heinrich
- 07 Apr 2021 (modified: 16 May 2023)
- Submitted to MIDL 2021
- 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
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- 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
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Efficient and Accurate Spatial-Temporal Denoising Network for Low-dose CT Scans
Leihao Wei, William Hsu
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Scopeformer: n-CNN-ViT hybrid model for Intracranial hemorrhage subtypes classification
Yassine Barhoumi, Ghulam Rasool
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
Creating Anthropomorphic Phantoms via Unsupervised Convolutional Neural Networks
Junyu Chen, Ye Li, Yong Du, Eric Frey
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone