output
20152025
most citedUnbiased split variable selection for random survival forests using maximally selected rank statistics

150 citations

Showing 2024Show all

7 papers · 1 filter

cs.LG2024★ 2 cited

Machine Unlearning for Speaker-Agnostic Detection of Gender-Based Violence Condition in Speech

Emma Reyner-Fuentes, Esther Rituerto-Gonzalez, Carmen Pelaez-Moreno

Gender-based violence is a pervasive public health issue that severely impacts women's mental health, often leading to conditions such as in anxiety, depression, post-traumatic str…

q-bio.QM2024★ 3 cited

Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt

Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari +28

Quantitative mass spectrometry has revolutionized proteomics by enabling simultaneous quantification of thousands of proteins. Pooling patient-derived data from multiple institutio…

eess.IV2024★ 8 cited

Real-time guidewire tracking and segmentation in intraoperative x-ray

Baochang Zhang, Mai Bui, Cheng Wang +3

During endovascular interventions, physicians have to perform accurate and immediate operations based on the available real-time information, such as the shape and position of guid…

cs.CL2024★ 10 cited

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

Phillip Richter-Pechanski, Philipp Wiesenbach, Dominic M. Schwab +4

Automatic extraction of medical information from clinical documents poses several challenges: high costs of required clinical expertise, limited interpretability of model predictio…

cs.CV2024

Deep learning based detection of collateral circulation in coronary angiographies

Cosmin-Andrei Hatfaludi, Daniel Bunescu, Costin Florian Ciusdel +9

Coronary artery disease (CAD) is the dominant cause of death and hospitalization across the globe. Atherosclerosis, an inflammatory condition that gradually narrows arteries and ha…

physics.med-ph2024★ 10 cited

Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net

Moritz Blumenthal, Chiara Fantinato, Christina Unterberg-Buchwald +3

Purpose: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training. Methods: NLINV-Net is a…