Papers
MedKamba: A Novel Approach Integrating State-Space Models and Fractional Kolmogorov–Arnold Networks for Medical Image Segmentation
Amit Shakya, Akanksha Yadav, Rupesh Kumar et al.
REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
Seowung Leem, Lin Gu, Chenyu You et al.
Unpaired Multimodal Learning for Biological Datasets
Zongliang Ji, Cian Eastwood, Anna Goldenberg et al.
CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation
Soufiane Ben Haddou, Rudolf L. M. van Herten, Connie R. Bezzina et al.
FutureMorph: Toward Predicting Future Deformation Fields in Longitudinal Imaging
Samah Khawaled, Mert R. Sabuncu
HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
Fengbei Liu, Sunwoo Kwak, Hao Phung et al.
X-Cardia: Phenotype-Guided Cross-Modal Alignment for Opportunistic Cardiac Screening on Routine Chest CT
Nusrat Binta Nizam, Fengbei Liu, Sunwoo Kwak et al.
Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation
Yehyun Suh, Brayden Schott, Chou Mo et al.
EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams
Hao Li, Daiwei Lu, Jiacheng Wang et al.
Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video
Hao Li, Daiwei Lu, Xing Yao et al.
MILCA: Malaria Parasite Detection from Sample-Level Weak Labels
Petru Manescu, Delmiro Fernandez-Reyes
Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction
Romain Hardy, Andrea Dunn Beltran, Todd A. Brenner et al.
Temporal Memory Enhancement for Semantic Segmentation in Surgical Video
Zheyao Gao, Qian Wu, Yueyao Chen et al.
LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays
Mingze Jiang, Xueyang Li, John Kheir et al.
NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical–Linguistic Validation
Ruiying Liu, Jialu Liu, Xuzhe Zhang et al.
One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology
Karel Moens, Jonas De Vylder, Tinne Tuytelaars et al.
A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation
Yiyou Sun, Zheyao Gao, Xiaogen Zhou et al.
A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning
Zhiwei Tan, Xin Wang, Meng Wang et al.
SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation
Aswathi Varma, Jonas Weidner, Laurin Lux et al.
Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling
Maik Dannecker, Steven Jia, Nil Stolt-Ansó et al.
BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features
Juampablo E. Heras Rivera, Dickson T. Chen, Tianyi Ren et al.
NISF$++$: Geometrically-grounded implicit representations of 3D$+$time cardiac function from 2D short- and long-axis MR views
Nil Stolt-Ansó, Maik Dannecker, Steven Jia et al.
Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations
Tianyi Ren, Daniel Low, Rachel Xiang et al.
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah et al.
Does Grounding Improve Radiology Report Generation? An Empirical Study on PadChest-GR
Mohamed Aas-Alas, Alberto Albiol, Roberto Paredes