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
- Published: 06 Jun 2024, Last Modified: 01 Jul 2024
- MIDL 2024 Oral
- Readers: Everyone
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation
Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics
Eduard Chelebian, Christophe Avenel, Julio Leon, Chung-Chau Hon, Carolina Wahlby
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification
Isabel Rio-Torto, Jaime S Cardoso, Luis Filipe Teixeira
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation
JunJiang, Shi Gu
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification
Katharina V Hoebel, Jesseba Fernando, William Lotter
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- Readers: Everyone
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- Readers: Everyone
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
Alexander Chebykin, Peter Bosman, Tanja Alderliesten
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation
Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- 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
- Published: 06 Jun 2024, Last Modified: 13 Jun 2024
- MIDL 2024 Oral
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
An unexpected confounder: how brain shape can be used to classify MRI scans ?
Valentine Wargnier Dauchelle, Thomas Grenier, Michaël Sdika
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- Readers: Everyone
Real-time MR-based 3D motion monitoring using raw k-space data
Marius Krusen, Floris Ernst
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- Readers: Everyone
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities
Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction
Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins
Alexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory Slabaugh, Caroline Roney
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Oral
- 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
- Published: 06 Jun 2024, Last Modified: 06 Jun 2024
- MIDL 2024 Poster
- Readers: Everyone
Implicit neural obfuscation for privacy preserving medical image sharing
Mattias P Heinrich, Lasse Hansen
- Published: 06 Jun 2024, Last Modified: 05 Jul 2024
- MIDL 2024 Poster
- Readers: Everyone