activity
20232026
most citedCoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis

25 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma

Francesca Fati, Felipe Coutinho, Marika Reinius +25

Purpose. High-grade serous ovarian carcinoma (HGSOC) is characterized by pronounced biological and spatial heterogeneity and is frequently diagnosed at an advanced stage. Neoadjuva…

cs.CV2026

CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis

Di Zhang, Zhangpeng Gong, Xiaobo Pang +14

Foundation models have recently achieved impressive success in computational pathology, demonstrating strong generalization across diverse histopathology tasks. However, existing m…

eess.IV2026

Data-driven registration and modeling of brain deformation for image-guided neurosurgery

Tiago Assis, Colin P. Galvin, Joshua P. Castillo +12

Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. Surgical manipulation and tumor resection induce tissue motion, causing preoperative…

cs.CV2025

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer

Daniël Boeke, Cedrik Blommestijn, Rebecca N. Wray +8

Recurrence risk estimation in clear cell renal cell carcinoma (ccRCC) is essential for guiding postoperative surveillance and treatment. The Leibovich score remains widely used for…

cs.LG2024★ 25 cited

CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis

William Knottenbelt, William McGough, Rebecca Wray +5

Motivation: Survival analysis is a branch of statistics that is crucial in medicine for modeling the time to critical events such as death or relapse, in order to improve treatment…

eess.IV2023★ 1 cited

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography

William McGough, Thomas Buddenkotte, Stephan Ursprung +3

This study introduces an automated pipeline for renal cancer (RC) detection in non-contrast computed tomography (NCCT). In the development of our pipeline, we test three detections…