Jens Kleesiek

TU Dortmund University — Germany

Medicine · Health Sciences

33h-index5.5kcitations322works11.42yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(107), AI in cancer detection(61), Artificial Intelligence in Healthcare and Education(51), Medical Imaging Techniques and Applications(29), Medical Imaging and Analysis(27)

Publications319 total

Effects of a transformer-based AI-based application to support incontinence-associated dermatitis and pressure injury assessment, nursing care and documentation: Controlled pilot intervention study
International Journal of Nursing Studies Advances·2026Open Access
Implementation of guideline-recommended organ-protective therapy in people with type 2 diabetes and cardiovascular disease, heart failure, or kidney disease: real-world evidence from a German University Hospital
Frontiers in Endocrinology·2026Open Access
From screen to space: evaluating Siemens’ Cinematic Reality application for medical imaging on the Apple Vision Pro
Frontiers in Virtual Reality·2026Open Access
Deep Learning–Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer
Clinical Cancer Research·2026
GRASPing Anatomy to Improve Pathology Segmentation
Lecture notes in computer science·2026
AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization
Journal of Nuclear Medicine·2025· 1 cited
Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection
Clinical Surgical Oncology·2025Open Access
Contrastive virtual staining enhances deep learning‐based <scp>PDAC</scp> subtyping from H&amp;E‐stained tissue cores
The Journal of Pathology·2025Open Access
Advancing Continuous Glucose Monitoring (CGM) for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference (MARD)
2025Open Access
Advancing Continuous Glucose Monitoring (CGM) for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference (MARD)
2025Open Access
Advancing Continuous Glucose Monitoring for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference
Diabetes Care·2025
278P Genetic subtype prediction in diffuse gliomas with a vision transformer-based model
ESMO Real World Data and Digital Oncology·2025Open Access
OncoVR - Virtual Reality in Oncology for Patient-centered Care: A Systematic Review and Meta-Analysis
2025Open Access
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification
npj Digital Medicine·2025· 1 citedOpen Access
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
arXiv (Cornell University)·2025Open Access
FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models
Journal of the American Medical Informatics Association·2025· 3 citedOpen Access
LiMeTrack: A lightweight biosample management platform for the multicenter SATURN3 consortium
2025Open Access
Large Language Models Improve Cancer Survival Prediction Using Real-World Clinical Notes
2025Open Access
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
2025Open Access
Evaluating Zero-Shot Foundation Models for Time Series Forecasting in Clinical Settings: A Simulation Study with Electronic Health Records
Studies in health technology and informatics·2025Open Access
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Frequent Co-authors

Klaus Maier‐Hein(15), Jan Egger(13), Ken Herrmann(7), Fabian Isensee(6), Bjoern Menze(6), Jianning Li(6), Heinz‐Peter Schlemmer(6), Felix Nensa(6), Martin Bendszus(5), Lena Maier‐Hein(5), Annika Reinke(5), Spyridon Bakas(5), Jens Petersen(5), Paul F. Jäger(5), Robert Seifert(5), Boris Hadaschik(5), Tim Frederik Weber(5), René Hosch(5), Armin Biller(4), Minu D. Tizabi(4)