output
20132026
most citedDetecting and interpreting myocardial infarction using fully convolutional neural networks

176 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation

Manuel Laufer, Dominik Mairhöfer, Malte Sieren +7

An adequate diagnostic quality of radiographs is essential for reliable diagnoses and treatment planning. The patient's pose during radiography is one of the most important factors…

cs.CV2019★ 45 cited

Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images

Nils Gessert, Marcel Bengs, Lukas Wittig +4

Purpose: The gold standard for colorectal cancer metastases detection in the peritoneum is histological evaluation of a removed tissue sample. For feedback during interventions, re…

cs.CV2018★ 9 cited

Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks

Nils Gessert, Lukas Wittig, Daniel Drömann +3

Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum. For immediate assessment, reliable and real-time in-vivo…

cs.CV2018★ 122 cited

Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

Nils Gessert, Matthias Lutz, Markus Heyder +4

Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomograp…

cs.CV2018★ 11 cited

Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture

Nils Gessert, Torben Priegnitz, Thore Saathoff +6

Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy. During soft tissue needle insertion, forces acting at the needle tip cause tissu…