output
20082026
most citedArtificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

173 citations

31 papers

cs.CV2026

First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery

Priya Tomar, Maximilian Broß, Philipp Feodorovici +7

Surgical gauze is an essential part of surgical procedures, primarily used for controlling bleeding and absorbing bodily fluids. The post-surgical retention of gauze can lead to se…

cs.CV2026

Transformation Behavior of Images in Latent Space

Christian Zöllner, Mozzam Motiwala, Aysel Ahadova +4

Training of neural networks for histopathology classification tasks typically relies on data encoding into latent space, which reduces complexity and improves performance. There ar…

cs.CV2025

INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading

Mert Ikinci, Luna Toma, Karin U. Loeffler +6

Accurate grading of Conjunctival Melanocytic Intraepithelial Lesions (CMIL) is essential for treatment and melanoma prediction but remains difficult due to subtle morphological cue…

cs.RO2025

Hoi! - A Multimodal Dataset for Force-Grounded, Cross-View Articulated Manipulation

Tim Engelbracht, René Zurbrügg, Matteo Wohlrapp +5

We present a dataset for force-grounded, cross-view articulated manipulation that couples what is seen with what is done and what is felt during real human interaction. The dataset…

cs.LG2025★ 3 cited

ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy

David Bertram, Anja Ophey, Sinah Röttgen +18

Isolated rapid eye movement sleep behavior disorder (iRBD) is a major prodromal marker of -synucleinopathies, often preceding the clinical onset of Parkinson's disease, dementia…

physics.med-ph2025★ 4 cited

MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach

Alexander Herold, Daniel Sobotka, Lucian Beer +12

Background: We aimed to quantify hepatic vessel volumes across chronic liver disease stages and healthy controls using deep learning-based magnetic resonance imaging (MRI) analysis…