204 citations · 609 across the 30 of their papers we have counts for
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cs.CV2023★ 55 cited
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson +4
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. Training such deep learning mod…
cs.CL2023★ 2 cited
LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models
Patrik Puchert, Poonam Poonam, Christian van Onzenoodt +1
Large Language Models (LLMs) have revolutionized natural language processing and demonstrated impressive capabilities in various tasks. Unfortunately, they are prone to hallucinati…