Jens Maus

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Bio

I am a passionate computer scientist by education with a Ph.D. in health science. I have records in research on quantitative/functional medical imaging (e.g. positron emission tomography), research on motion correction methods. In addition, I have records in application-driven programming, advanced algorithms design and especially parallel computing design.

Research Interests

Papers共 42 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

Deep Learning Based Bilateral Filtering for Edge-Preserving Denoising of Respiratory-Gated PET

Jens Maus,Pavel Nikulin,Frank Hofheinz,Jan Petr,Anja Braune,Jörg Kotzerke,Jörg van den Hoff

EJNMMI Physicsno. 1 (2024)

Cited2Views0WOSBibtex

Application of Deep Learning for Standardized Delineation of Healthy Reference Regions in O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET

P. Nikulin,P. Lohmann,J. Maus,C. Lerche,J. van den Hoff

61 Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin Nuklearmedizin - NuclearMedicine (2023)

Cited0Views0Bibtex

An Unsupervised Deep Learning Framework for Respiratory Motion Correction in PET

B. Rosin,P. Nikulin,F. Hofheinz,J. Maus,A. Braune,J. Kotzerke,J. van den Hoff

61 Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin Nuklearmedizin - NuclearMedicine (2023)

Cited1Views0Bibtex

A Convolutional Neural Network with Self-Attention for Fully Automated Metabolic Tumor Volume Delineation of Head and Neck Cancer in \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \Usepackag

P. Nikulin,S. Zschaeck,J. Maus,P. Cegła, E. Lombardo,C. Furth,J. Kazmierska,J. Rogasch, A. Holzgreve, N. Albert,K. Ferentinos,I. Strouthos, M. Hajiyianni, S. Marschner, C. Belka, G. Landry,W. Cholewiński,J. Kotzerke,F. Hofheinz,J. van den Hoff

European Journal of Nuclear Medicine and Molecular Imaging（2023）

Cited0Views0Bibtex

A Convolutional Neural Network for Respiratory Motion Correction in PET

B. Rosin,P. Nikulin,F. Hofheinz,J. Maus,A. Braune,J. Kotzerke,J. Van Den Hoff

2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)pp.1-1, (2023)

Cited0Views0EIWOSBibtex

Deep Learning Enhanced Bilateral Post-Filtering of Noisy PET Data

J. Maus,P. Nikulin,F. Hofheinz, B. Rosin,A. Braune,J. Kotzerke,J. van den Hoff

60 Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin Nuklearmedizin - NuclearMedicine（2022）

Cited0Views0Bibtex

A Convolutional Neural Network for Automated Delineation and Classification of Metabolic Tumor Volume in Head and Neck Cancer in FDG-PET/CT

P. Nikulin,F. Hofheinz,J. Maus,P. Cegła,C. Furth,J. Kaźmierska,J. Rogasch,J. Kotzerke,S. Zschaeck,J. van den Hoff

60 Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin Nuklearmedizin - NuclearMedicine（2022）

Cited0Views0Bibtex

Evaluation of Effective Spatial Resolution in Reconstructed PET Images

J Maus,F Hofheinz, S Meister,J Pietzsch,J van den Hoff

59 Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin Nuklearmedizin - NuclearMedicine（2021）

Cited0Views0Bibtex

Automated Objective Optimization of Iterative Image Reconstruction Protocols

P Nikulin,J Maus,F Hofheinz,J van den Hoff

59 Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin Nuklearmedizin - NuclearMedicine (2021)

Cited0Views0Bibtex

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Associate Research

Papers共 42 篇Author StatisticsCo-AuthorSimilar Experts