activity
20202026
most citedMedical Deep Learning -- A systematic Meta-Review

259 citations · 413 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CL2023★ 1 cited

On the Impact of Cross-Domain Data on German Language Models

Amin Dada, Aokun Chen, Cheng Peng +12

Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have she…

cs.CL2023

Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!

Mariana Lindo, Ana Sofia Santos, André Ferreira +10

The impression section of a radiology report summarizes important radiology findings and plays a critical role in communicating these findings to physicians. However, the preparati…

eess.IV2023

Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction

Jianning Li, Antonio Pepe, Gijs Luijten +3

In this paper, we introduce a completion framework to reconstruct the geometric shapes of various anatomies, including organs, vessels and muscles. Our work targets a scenario wher…

cs.CV2023★ 35 cited

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.LG2023

FAM: Relative Flatness Aware Minimization

Linara Adilova, Amr Abourayya, Jianning Li +5

Flatness of the loss curve around a model at hand has been shown to empirically correlate with its generalization ability. Optimizing for flatness has been proposed as early as 199…

cs.CV2023★ 1 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…