output
20172026
most citedDiffusion Probabilistic Models beat GANs on Medical Images

215 citations

Showing 2024Show all

5 papers · 1 filter

eess.IV2024★ 20 cited

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

Gustav Müller-Franzes, Firas Khader, Robert Siepmann +4

MRI and CT are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. Wh…

q-bio.BM2024★ 65 cited

The need to implement FAIR principles in biomolecular simulations

Rommie Amaro, Johan Åqvist, Ivet Bahar +125

This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necess…

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…

stat.AP2024★ 3 cited

Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study

Harry H. Beyel, Marlo Verket, Viki Peeva +5

Process mining in healthcare presents a range of challenges when working with different types of data within the healthcare domain. There is high diversity considering the variety…

cs.CV2024★ 10 cited

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images

Johannes Raufeisen, Kunpeng Xie, Fabian Hörst +9

Background: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine…