most citedSMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

5 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024★ 5 cited

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

Soumick Chatterjee, Hendrik Mattern, Marc Dörner +45

The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulne…

cs.CV2024★ 2 cited

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery

Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios +29

The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a sur…

cs.CV2024

MuST: Multi-Scale Transformers for Surgical Phase Recognition

Alejandra Pérez, Santiago Rodríguez, Nicolás Ayobi +3

Phase recognition in surgical videos is crucial for enhancing computer-aided surgical systems as it enables automated understanding of sequential procedural stages. Existing method…

cs.CV2024

SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Gabriel Mejia, Daniela Ruiz, Paula Cárdenas +3

Spatial Transcriptomics is a novel technology that aligns histology images with spatially resolved gene expression profiles. Although groundbreaking, it struggles with gene capture…

cs.CV2024★ 4 cited

Pixel-Wise Recognition for Holistic Surgical Scene Understanding

Nicolás Ayobi, Santiago Rodríguez, Alejandra Pérez +8

This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as…