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Jan Odenthal

Heidelberg University · DE
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Area of research
Radiology, Nuclear Medicine and Imaging · Cellular and Molecular Neuroscience
Research interest
Research interests include Optical Imaging and Spectroscopy Techniques, Infrared Thermography in Medicine, Neuroscience and Neuropharmacology Research, and Neural dynamics and brain function.
h-index
9
citations
370
works
16
NIH funding
primary concept
email

Recent publications

Crystalloid volume versus catecholamines for management of hemorrhagic shock during esophagectomy: assessment of microcirculatory tissue oxygenation of the gastric conduit in a porcine model using hyperspectral imaging – an experimental study
International Journal of Surgery 2024cited by 3position: middledoi
HeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs
Scientific Data 2023cited by 40position: middledoi
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy
European Journal of Surgical Oncology 2023cited by 17position: middledoi
ICG-augmented hyperspectral imaging for visualization of intestinal perfusion compared to conventional ICG fluorescence imaging: an experimental study
International Journal of Surgery 2023cited by 6position: middledoi
Robust deep learning-based semantic organ segmentation in hyperspectral images
Medical Image Analysis 2022cited by 84position: middledoi
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
Scientific Reports 2022cited by 49position: middledoi
Spectral Organ Fingerprints For Machine Learning-Based Intraoperative Tissue Classification With Hyperspectral Imaging
Research Square 2022cited by 0position: middledoi
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging in an experimental model for minimally invasive esophagectomy
bioRxiv (Cold Spring Harbor Laboratory) 2021cited by 12position: middledoi
Spectral organ fingerprints for intraoperative tissue classification with hyperspectral imaging
bioRxiv (Cold Spring Harbor Laboratory) 2021cited by 12position: middledoi
Robust deep learning-based semantic organ segmentation in hyperspectral images
arXiv (Cornell University) 2021cited by 0position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Beat P. Müller‐Stich · University of Basel10 papers (2021–2024)Leonardo Ayala · German Cancer Research Center10 papers (2021–2024)Berkin Özdemir · German Cancer Research Center10 papers (2021–2024)Silvia Seidlitz · German Cancer Research Center10 papers (2021–2024)Alexander Studier‐Fischer · German Cancer Research Center10 papers (2021–2024)Felix Nickel · Universität Hamburg10 papers (2021–2024)Lena Maier Hein · German Cancer Research Center8 papers (2021–2023)Gabriel Alexander Salg · University Hospital Heidelberg8 papers (2021–2024)Maximilian Dietrich · University Hospital Heidelberg8 papers (2021–2024)Karl‐Friedrich Kowalewski · German Cancer Research Center8 papers (2021–2024)Jan Sellner · German Cancer Research Center8 papers (2021–2024)Caelán Max Haney · German Cancer Research Center6 papers (2021–2024)Samuel Knödler · University Hospital Heidelberg6 papers (2021–2024)Karsten Schmidt · University of Regensburg6 papers (2021–2024)Isabella Camplisson · California Institute of Technology5 papers (2021–2023)Hannes Kenngott · Heidelberg University5 papers (2021–2023)Tim Adler · German Cancer Research Center5 papers (2021–2022)Samuel Knoedler · Technical University of Munich4 papers (2021–2023)Hannes Götz Kenngott · University Hospital Heidelberg3 papers (2022–2023)Nicholas Schreck · German Cancer Research Center3 papers (2021–2022)
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