output
20192025
most citedDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

176 citations

Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 2 cited

Sustained Vowels for Pre- vs Post-Treatment COPD Classification

Andreas Triantafyllopoulos, Anton Batliner, Wolfgang Mayr +6

Chronic obstructive pulmonary disease (COPD) is a serious inflammatory lung disease affecting millions of people around the world. Due to an obstructed airflow from the lungs, it a…

eess.IV2024★ 16 cited

MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT

Hartmut Häntze, Lina Xu, Christian J. Mertens +29

Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial…

eess.IV2024★ 28 cited

SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation

Hendrik Möller, Robert Graf, Joachim Schmitt +16

Purpose. To present SPINEPS, an open-source deep learning approach for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs,…

stat.AP2024

To tweak or not to tweak. How exploiting flexibilities in gene set analysis leads to over-optimism

Milena Wünsch, Christina Sauer, Moritz Herrmann +2

Gene set analysis, a popular approach for analysing high-throughput gene expression data, aims to identify sets of genes that show enriched expression patterns between two conditio…

stat.ME2024★ 3 cited

Addressing researcher degrees of freedom through minP adjustment

Maximilian M Mandl, Andrea S Becker-Pennrich, Ludwig C Hinske +2

When different researchers study the same research question using the same dataset they may obtain different and potentially even conflicting results. This is because there is ofte…