activity
20102026
most citedSurgical Data Science: Enabling Next-Generation Surgery

578 citations · 1.2k across the 72 of their papers we have counts for

collaborators

84 papers

cs.AI2026

Counterfactual Self-Evolving Agents for Evidence-Grounded Reasoning

Xing Han, Yuxin Wang, Chen Chen +8

Self-play proposer--solver methods improve reasoning by generating tasks and learning from verified solutions. However, for evidence-identifiable tasks, where case-specific evidenc…

cs.RO2023

The Quiet Eye Phenomenon in Minimally Invasive Surgery

Alaa Eldin Abdelaal, Rachelle Van Rumpt, Sayem Nazmuz Zaman +6

In this paper, we report our discovery of a gaze behavior called Quiet Eye (QE) in minimally invasive surgery. The QE behavior has been extensively studied in sports training and h…

cs.CV2022

SAGE: SLAM with Appearance and Geometry Prior for Endoscopy

Xingtong Liu, Zhaoshuo Li, Masaru Ishii +3

In endoscopy, many applications (e.g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry…

cs.CV2022

Mapping DNN Embedding Manifolds for Network Generalization Prediction

Molly O'Brien, Julia Bukowski, Mathias Unberath +2

Understanding Deep Neural Network (DNN) performance in changing conditions is essential for deploying DNNs in safety critical applications with unconstrained environments, e.g., pe…

cs.LG2021

Learn Proportional Derivative Controllable Latent Space from Pixels

Weiyao Wang, Marin Kobilarov, Gregory D. Hager

Recent advances in latent space dynamics model from pixels show promising progress in vision-based model predictive control (MPC). However, executing MPC in real time can be challe…

cs.CV2021

Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains

Molly O'Brien, Mike Medoff, Julia Bukowski +1

It is well known that Neural Network (network) performance often degrades when a network is used in novel operating domains that differ from its training and testing domains. This…