MIDL 2024 Conference Submissions

Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation
Raoul Sallé de Chou, Matthew Sinclair, Sabrina Lynch, Nan Xiao, Laurent Najman, Irene Vignon-clementel, Hugues Talbot
- 01 Feb 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation
Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer
- 01 Feb 2024 (modified: 22 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics
Eduard Chelebian, Christophe Avenel, Julio Leon, Chung-Chau Hon, Carolina Wahlby
- 01 Feb 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification
Isabel Rio-Torto, Jaime S Cardoso, Luis Filipe Teixeira
- 01 Feb 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder
Kumari Rashmi, Ayantika Das, NagaGayathri Matcha, Keerthi Ram, Mohanasankar Sivaprakasam
- 01 Feb 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation
JunJiang, Shi Gu
- 01 Feb 2024 (modified: 24 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios
Mariia Rizhko, Lauren Erdman, Mandy Rickard, Kunj Sheth, Daniel Alvarez, Kyla N Velaer, Megan A. Bonnett, Christopher S. Cooper, Gregory E. Tasian, John Weaver, Alice Xiang, Armando J. Lorenzo, Anna Goldenberg
- 01 Feb 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification
Katharina V Hoebel, Jesseba Fernando, William Lotter
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis
Carl Molnar, Thomas E. Tavolara, Christopher A. Garcia, David S. McClintock, Mark D. Zarella, Wenchao Han
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
- 31 Jan 2024 (modified: 28 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
Alexander Chebykin, Peter Bosman, Tanja Alderliesten
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation
Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy
- 31 Jan 2024 (modified: 25 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation
Hanxue Gu, Roy Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, Maciej A Mazurowski
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Automated ranking of chest x-ray radiological finding severity in a binary label setting
Matthew Macpherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation
Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David Menon, Virginia Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
There Are No Shortcuts To Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis
Christopher Boland, Keith A Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
Robin Trombetta, Olivier Rouvière, Carole Lartizien
- 31 Jan 2024 (modified: 28 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
An unexpected confounder: how brain shape can be used to classify MRI scans ?
Valentine Wargnier Dauchelle, Thomas Grenier, Michaël Sdika
- 31 Jan 2024 (modified: 27 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Real-time MR-based 3D motion monitoring using raw k-space data
Marius Krusen, Floris Ernst
- 31 Jan 2024 (modified: 22 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology
Elias Baumann, Bastian Dislich, Josef Lorenz Rumberger, Iris D. Nagtegaal, Maria Rodriguez Martinez, Inti Zlobec
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities
Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction
Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Digital Twins
Alexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory Slabaugh, Caroline Roney
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising
Xuhang Chen, Zeju Li, Zikun Xu, kaijie Xu, Cheng Ouyang, Chen Qin
- 31 Jan 2024 (modified: 23 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone
Implicit neural compression for privacy preserving medical image sharing
Mattias P Heinrich, Lasse Hansen
- 31 Jan 2024 (modified: 21 Mar 2024)
- MIDL 2024 Conference Submission
- Readers: Everyone