P. Nikulin

Erratum: Time efficient scatter correction for time-of-flight PET: the immediate scatter approximation (2019 Phys. Med. Biol. 64 075005)

A. Lougovski, F. Hofheinz, J. van den Hoff, 2019, Physics in Medicine & Biology.

A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue

F. Barkhof, C. Pernet, P. C. de Witt Hamer, 2021, Magnetic Resonance Materials in Physics, Biology and Medicine.

A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in $$[^{18}$$ [ 18 F]FDG PET/CT

F. Hofheinz, J. Kazmierska, J. van den Hoff, 2023, European journal of nuclear medicine and molecular imaging.

18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization

H. Amthauer, F. Hofheinz, J. Kazmierska, 2022, Frontiers in Oncology.

Time efficient scatter correction for time-of-flight PET: the immediate scatter approximation

Frank Hofheinz, Alexandr Lougovski, Jens Maus, 2019, Physics in medicine and biology.

Asphericity derived from [18F]FDG PET as a new prognostic parameter in cervical cancer patients

F. Hofheinz, J. van den Hoff, A. Kubiak, 2023, Scientific reports.

A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PET

F. Hofheinz, J. van den Hoff, M. Kreissl, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

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

F. Hofheinz, J. Kazmierska, J. van den Hoff, 2023, European Journal of Nuclear Medicine and Molecular Imaging.