Moltz Jan Hendrik - Fraunhofer MEVIS - Institute for Medical Image Computing

基本信息

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Bio

Jan Hendrik Moltz received the diploma in computer science from the University of Lübeck, Lübeck, Germany, in 2006. Since then, he has been a Research Assistant at Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, Germany, working on tumor segmentation in CT and other image processing techniques for oncological therapy monitoring.

Research Interests

Papers共 69 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Pre-treatment 18F-FDG-PET/CT Parameters As Biomarkers for Progression Free Survival, Best Overall Response and Overall Survival in Metastatic Melanoma Patients Undergoing First-Line Immunotherapy

Felix Peisen,Annika Gerken, Isabel Dahm,Konstantin Nikolaou,Thomas Eigentler,Teresa Amaral,Jan H. Moltz,Ahmed E. Othman,Sergios Gatidis,Francesco Dondi

PLOS ONEno. 1 (2024)

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Inferring 3D Finger Bone Shapes from 2D Images - a Detailed Analysis of Shape Accuracy

Anna Roerich,Annkristin Lange,Stefan Heldmann,Jan H. Moltz,Lars Walczak,Sinef Yarar-Schlickewei,Felix Guettler,Joachim Georgii

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATIONno. 1 (2024)

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Can Delta Radiomics Improve the Prediction of Best Overall Response, Progression-Free Survival, and Overall Survival of Melanoma Patients Treated with Immune Checkpoint Inhibitors

Felix Peisen,Annika Gerken,Alessa Hering, Isabel Dahm,Konstantin Nikolaou,Sergios Gatidis,Thomas K. Eigentler,Teresa Amaral,Jan H. Moltz,Ahmed E. Othman

Cancersno. 15 (2024): 2669-2669

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Joint Learning of Image Registration and Change Detection for Lung CT Images

Temke Kohlbrandt,Jan Moltz,Stefan Heldmann,Alessa Hering,Jan Lellmann

BILDVERARBEITUNG FUR DIE MEDIZIN 2024pp.46-51, (2024)

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Improving Assessment of Lesions in Longitudinal CT Scans: a Bi-Institutional Reader Study on an AI-assisted Registration and Volumetric Segmentation Workflow

Alessa Hering,Max Westphal,Annika Gerken,Haidara Almansour,Michael Maurer,Benjamin Geisler, Temke Kohlbrandt,Thomas Eigentler,Teresa Amaral,Nikolas Lessmann,Sergios Gatidis,Horst Hahn,Konstantin Nikolaou,Ahmed Othman,Jan Moltz,Felix Peisen

International journal of computer assisted radiology and surgeryno. 9 (2024): 1689-1697

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Radiomics Workflow Definition Challenges - German Priority Program 2177 Consensus Statement on Clinically Applied Radiomics

Insights into Imagingno. 1 (2024): 1-12

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Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study

Felix Peisen,Annika Gerken,Alessa Hering, Isabel Dahm,Konstantin Nikolaou,Sergios Gatidis,Thomas K. Eigentler,Teresa Amaral,Jan H. Moltz,Ahmed E. Othman

Diagnostics（2023）

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Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

Sven Kuckertz,Stefan Heldmann,Jan Hendrik Moltz

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2023 WORKSHOPS (2023): 91-99

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Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy

Felix Peisen,Annika Hansch,Alessa Hering,Andreas S. Brendlin,Saif Afat,Konstantin Nikolaou,Sergios Gatidis,Thomas Eigentler,Teresa Amaral,Jan H. Moltz,Ahmed E. Othman

Cancers（2022）

Cited8Views0WOSBibtex

Radiomics Features of the Spleen As Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation

Johanna S. Enke,Jan H. Moltz,Melvin D'Anastasi,Wolfgang G. Kunz,Christian Schmidt,Stefan Maurus,Alexander Muehlberg,Alexander Katzmann,Michael Suehling,Horst Hahn,Dominik Noerenberg,Thomas Huber

Cancers（2022）

Cited15Views0WOSBibtex

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