Papers
Fast forward: Rephrasing 3D deformable image registration through density alignment and splatting
Mattias P Heinrich, Alexander Bigalke, Lasse Hansen
Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies
Laurenz Adrian Heidrich, Aditya Rastogi, Priyank Upadhya et al.
An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images
Savannah Hays, Lianrui Zuo, Blake E. Dewey et al.
Symmetric Multi-level Gradient-Inverse Consistency Network for Brain Image Registration with Large Deformation
Haoying Bai, Tongtong Che, Jichang Zhang et al.
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization
Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri et al.
Segment Anything for Histopathology
Titus Griebel, Anwai Archit, Constantin Pape
FERN: A Fetal Echocardiography Registration Network for 2D-to-3D Alignment
Paula Ramirez Gilliland, David F A Lloyd, Jacqueline Matthew et al.
Mitigating analytical variability in fMRI with style transfer
Elodie Germani, Camille Maumet, Elisa Fromont
Multi-centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI
Kai Geißler, Markus Wenzel, Susanne Diekmann et al.
Machine Learning with Scarce Data: Ejection Fraction Prediction Using PLAX View
Zhiyuan Gao, Dominic Yurk, Yaser S. Abu-Mostafa
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations
Louisa Fay, Jean-Benoit Delbrouck, Thomas Küstner et al.
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
Gian Mario Favero, Parham Saremi, Emily Kaczmarek et al.
FLAIRBrainSeg: Fine-Grained Brain Segmentation Using FLAIR MRI Only
Le Bot Edern, Rémi Giraud, Boris Mansencal et al.
Can Diffusion Models Generalize? Privacy and Fairness Trade-offs for Medical Data Sharing.
Mischa Dombrowski, Bernhard Kainz
A knowledge-based method for detecting network-induced shape artifacts in synthetic images
Rucha Deshpande, Miguel Lago, Adarsh Subbaswamy et al.
MedDelinea: Scalable and Efficient Medical Image Segmentation via Controllable Diffusion Transformers
Gayatri Deshmukh, Onkar Kishor Susladkar, Debesh Jha et al.
Visual Prompt Engineering for Vision Language Models in Radiology
Stefan Denner, Markus Ralf Bujotzek, Dimitrios Bounias et al.
CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels
Ruining Deng, Yihe Yang, David J Pisapia et al.
SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
Badhan Kumar Das, Ajay Singh, Saahil Islam et al.
Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis
Valentina Corbetta, Regina Beets-Tan, Jaime S Cardoso et al.
Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach
Ozkan Cigdem, Refik Soyak, Kyunghyun Cho et al.
Foundation Model Ensemble for Out-of-Distribution Generalization: Predicting Lymph Node Metastasis in Early Gastric Cancer Using Whole-Slide Imaging
Woojin Chung, Yujun Park, Yoonho Nam
Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales
Zijie Cheng, Boxuan Li, Andre Altmann et al.
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
Fuyao Chen, Yuexi Du, Tal Zeevi et al.
Staging Liver Fibrosis with Hepatic Perivascular Adipose Tissue as a CT Biomarker
Skylar Chan, Tejas Sudharshan Mathai, Praveen T.S. Balamuralikrishna et al.