output
20062024
most citedClinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

10 citations

5 papers

q-bio.BM2024★ 7 cited

OpenMS WebApps: Building User-Friendly Solutions for MS Analysis

Tom David Müller, Arslan Siraj, Axel Walter +10

Liquid Chromatography Mass Spectrometry (LC-MS) is an indispensable analytical technique in proteomics, metabolomics, and other life sciences. While OpenMS provides advanced open-s…

q-bio.GN2024

Just-DNA-Seq, open-source personal genomics platform: longevity science for everyone

Kulaga Anton, Borysova Olga, Karmazin Alexey +7

Genomic data has become increasingly accessible to the general public with the advent of companies offering whole genome sequencing at a relatively low cost. However, their reports…

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.CV2020★ 3 cited

Towards Trainable Saliency Maps in Medical Imaging

Mehak Aggarwal, Nishanth Arun, Sharut Gupta +9

While success of Deep Learning (DL) in automated diagnosis can be transformative to the medicinal practice especially for people with little or no access to doctors, its widespread…

math.ST2006★ 3 cited

Comment on "Support Vector Machines with Applications"

Grace Wahba

Comment on "Support Vector Machines with Applications" [math.ST/0612817]