Papers
Beyond scalar losses: calibrating segmentation models via gradient vector field surgery
Laurin Lux, Alexander H. Berger, Moritz Knolle et al.
SuD-CoTAN: Sulcal Depth-guided Anatomically Consistent Fetal Cortical Surface Reconstruction
Irina Grigorescu, Jiaxin Xiao, Yourong Guo et al.
Learning Robust Medical Image Segmentation with Inductive Bias
Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee et al.
Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology
Imane Chraki, Pierre Marza, Stergios Christodoulidis et al.
Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling
Sander Moonemans, Sebastiaan Ram, Frédérique Meeuwsen et al.
Explainable HCC Diagnosis on Dynamic Contrast-Enhanced MRI with a Li-RADS Concept Bottleneck
Killian Monnin, Patrick Jeltsch, Lucia Fernandes-Mendes et al.
More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel
Jan Grove, Michel Botros, Ylva A Weeda et al.
Efficient Self-Supervised Adaptation of 3D Abdominal Vision-Language Model for Institution-Specific HCC Classification via Full Fine-Tuning and PEFT
Febryan Putra Kartika, Cheng-Yu Ma, Ying-Jia Lin et al.
Geometry-Aware Depth-Guided Explainable Multimodal Polyp Size Estimation: A Fusion Model Beyond RGB
Krispian Lawrence, Usha Goparaju, Luis Lamb
No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation
Samra Irshad, Junho Kim, Seong Tae Kim
TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation
Ashim Dhor, Abhirup Banerjee, Tanmay Basu
Anatomical Longitudinal Cortical Surface Registration
Aakash Saboo, Ashleigh Davies, Nashira Baena et al.
Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning
Vedang Kshirsagar, Saketh Juturu, Geetank Raipuria et al.
Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation
David Anglada-Rotger, Ferran Marques, Montse Pardàs
Robust Multi-Scale Implicit Neural Representations for Large-Deformation Lung Registration
Johannes B. Gebauer, Maximilian Nielsen, Frederic Madesta et al.
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
Tai Le Gia, Jaehyun Ahn
RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
Léo Butsanets, Charles Corbière, Julien Khlaut et al.
Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy
Yousif Hashisho, Diana Pinkert-Leetsch, Jeannine Missbach-Guentner
ALO: Addressing Class Imbalance in Radiology Report Generation through Anatomy-Level Oversampling
Lukas Buess, Robert Kurin, Adarsh Bhandary Panambur et al.
Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis
Prasiddha Bhandari, Kanchan Poudel, Nishant Luitel et al.
A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding
Christina Liu, Alan Q. Wang, Joy Hsu et al.
From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression
Luoting Zhuang, Linh M. Tran, Yunzheng Zhu et al.
PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage
Amar Kumar, Zahra TehraniNasab, Emily Kaczmarek et al.
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
Rustin Soraki, Huayu Wang, Sitong Liu et al.
ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation
Khang Le, Ha Thach, Anh M. Vu et al.