activity
20172026
most citedDeep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots

138 citations · 388 across the 43 of their papers we have counts for

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Showing 2025 · cs.CVShow all

10 papers · 2 filters

cs.CV2025

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Nico Schulthess, Ender Konukoglu

In this work, we leverage informative embeddings from foundational models for unsupervised anomaly detection in medical imaging. For small datasets, a memory-bank of normative feat…

cs.CV2025

MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation

Xinyu Liu, Guolei Sun, Cheng Wang +2

High-resolution (HR) medical videos are vital for accurate diagnosis, yet are hard to acquire due to hardware limitations and physiological constraints. Clinically, the collected l…

cs.CV2025

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI

Kyriakos Flouris, Moritz Halter, Yolanne Y. R. Lee +6

Hemodynamic analysis is essential for predicting aneurysm rupture and guiding treatment. While magnetic resonance flow imaging enables time-resolved volumetric blood velocity measu…

cs.CV2025

A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization

Mohammadreza Amirian, Michael Bach, Oscar Jimenez-del-Toro +18

Artificial intelligence (AI) has introduced numerous opportunities for human assistance and task automation in medicine. However, it suffers from poor generalization in the presenc…

cs.CV2025

Conformal forecasting for surgical instrument trajectory

Sara Sangalli, Gary Sarwin, Ertunc Erdil +4

Forecasting surgical instrument trajectories and predicting the next surgical action recently started to attract attention from the research community. Both these tasks are crucial…

cs.CV2025

CamSAM2: Segment Anything Accurately in Camouflaged Videos

Yuli Zhou, Yawei Li, Yuqian Fu +3

Video camouflaged object segmentation (VCOS), aiming at segmenting camouflaged objects that seamlessly blend into their environment, is a fundamental vision task with various real-…