Papers
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.
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan et al.
Semi-Synthetic Localization Datasets for Radiological Findings on Chest X-Rays
Andrea Posada, Johannes Brandt, Friederike Jungmann et al.
Non-invasive estimation of haemodynamic parameters in pulmonary hypertension — A deep learning approach integrating all B-mode cine loops in an echocardiographic exam
Li-Hsin Cheng, Samer Alabed, Athanasios Charalampopoulos et al.
Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases
Clemens Watzenböck, Daniel Aletaha, Michaël Deman et al.
Beyond Natural Images: A Dual-Stream DINOv3 Framework for PET/CT Segmentation
Yu-Nong Scarlett Lin, Shansong Wang, Mojtaba Safari et al.
MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology
Fatih Ozlugedik, Muhammed Furkan Dasdelen, Rao Muhammad Umer et al.
Calibration-Aware Semi-Supervised Fetal Head Segmentation with Boundary-Positive Contrast
Ufaq Khan, Umair Nawaz, Tajamul Ashraf et al.
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
Chun Kit Wong, Paraskevas Pegios, Nina Weng et al.
Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis
Samuel Halimi, Loic Themyr, Arnaud Abreu
From Surface to Viscera: 3D Estimation of Internal Anatomy from Body Surface Point Clouds
Salih Furkan Atici, Eytan Kats, Daniel Mensing et al.
Attention-to-Survival: Multimodal Fracture Risk Prediction Based on Pelvic Radiographs and Clinical Data from the Study of Osteoporotic Fractures
Niklas C. Koser, Marten J. Finck, Silja Janßen et al.
VFMStitch: A Vision-Foundation-Model Empowered Framework for 3D Ultrasound Stitching via Geometric–Semantic Feature Fusion
Xing Yao, Nick DiSanto, Runxuan Yu et al.
MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI
Zhengyi Lu, Ming Lu, Chongyu Qu et al.
AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning
Chongyu Qu, Zhengyi Lu, Yuxiang Lai et al.
Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing
Yuechen Yang, Junlin Guo, Ruining Deng et al.
Exploring Entropy-based Active Learning for Fair Brain Segmentation
Ghazal Danaee, Mélanie Gaillochet, Christian Desrosiers et al.
Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities
Zheng Zheng, Yuzhi Guo, Xiao Hu et al.