Source Themes

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

We present a novel preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes …

Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marco Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek

Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline

As the field of digital pathology continues to advance, the computeraided analysis of whole slide images (WSI) has become an essential …

Fabian Hörst, Sajad H Schaheer, Giulia Baldini, Fin H Bahnsen, Jan Egger, Jens Kleesiek

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

Please refer to the original publication

Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi

Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting

Medical studies are an essential part of advancing research. A uniform, flexible software infrastructure that allows for …

Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon Kim, Fin Hendrik Bahnsen, Jens Kleesiek

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

We present MedShapeNet, a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D surgical instrument models. Prior …

Jianning Li, Antonio Pepe, Fabian Hörst, Behrus Puladi, Jens Kleesiek, Jan Egger, Et al

Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning

Quantifying treatment response to gastroesophageal junction (GEJ) adenocarcinomas is crucial to provide an optimal therapeutic …

Fabian Hörst, Saskia Ting, Sven-Thorsten Liffers, Kelsey L. Pomykala, Katja Steiger, Markus Albertsmeier, Martin K. Angele, Sylvie Lorenzen, Michael Quante, Wilko Weichert, Jan Egger, Jens T. Siveke, Jens Kleesiek

Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology

The segmentation of histopathological whole slide images into tumourous and non-tumourous types of tissue is a challenging task that …

Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images are important clinical tasks and crucial for …

Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek