Papers
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.
RCSegNeXt: Efficient multi-scale ConvNeXt for rectal cancer segmentation from sagittal MRI scans
Wang Bo, Ting Xue, Leyang Pan et al.
DiffRGenNet: Difference-aware Medical Report Generation
Minghao Bian, Kun Zhang, Dexin Zhao et al.
SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation
Jacqueline Isabel Bereska, Hamed Karimi, Reza Samavi
Vector Representations of Vessel Trees
James Batten, Michiel Schaap, Matthew Sinclair et al.
GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI
Levente Baljer, Ula Briski, Robert Leech et al.
Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography using Weakly Supervised Deep Learning from Free-text Radiology Report
Xuguang Bai, Mingxuan Liu, Yifei Chen et al.
Evaluation of Virtual Stain Multiplexed CD68 for Macrophage Detection in NSCLC PD-L1 Slides
Elad Arbel, Oded Ben-David, Itay Remer et al.
Two Heads Are Enough: DualU-Net, a Fast and Efficient Architecture for Nuclei Instance Segmentation
David Anglada-Rotger, Berta Jansat, Ferran Marques et al.
Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets
Matthew Anderson, Veronica Corona, Agnieszka Stankiewicz et al.
Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
Lin Jiang, Dahai Yu, Rongchao Xu et al.
Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management
Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat et al.
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
Petr Anokhin, Nikita Semenov, Artyom Sorokin et al.
Synthesising Minimum Cost Dynamic Norms
Natasha Alechina, Brian Logan, Giuseppe Perelli
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms
Tanja Baeumel, Josef van Genabith, Simon Ostermann
Finetuning Pre-trained Language Models for Bidirectional Sign Language Gloss to Text Translation
Arshia Kermani, Habib Irani, Vangelis Metsis
Pose-Based Sign Language Spotting via an End-to-End Encoder Architecture
Samuel Ebimobowei Johnny, Blessed Guda, Emmanuel Aaron et al.
Cross-Linguistic Phonological Similarity Analysis in Sign Languages Using HamNoSys
Abhishek Bharadwaj Varanasi, Manjira Sinha, Tirthankar Dasgupta
Pose-Based Temporal Convolutional Networks for Isolated Indian Sign Language Word Recognition
Tatigunta Bhavi Teja Reddy, Vidhya Kamakshi
Enhancing Indian Sign Language Translation via Motion-Aware Modeling
Anal Roy Chowdhury, Debarshi Kumar Sanyal
Continuous Fingerspelling Dataset for Indian Sign Language
Kirandevraj R, Vinod K. Kurmi, Vinay P. Namboodiri et al.
Multilingual Sign Language Translation with Unified Datasets and Pose-Based Transformers
Pedro Alejandro Dal Bianco, Oscar Agustín Stanchi, Facundo Manuel Quiroga et al.