A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue J Petr, L Hogeboom, P Nikulin, E Wiegers, G Schroyen, J Kallehauge, ...
Magnetic Resonance Materials in Physics, Biology and Medicine, 1-24, 2021
11 2021 A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PET P Nikulin, F Hofheinz, J Maus, Y Li, R Bütof, C Lange, C Furth, S Zschaeck, ...
European Journal of Nuclear Medicine and Molecular Imaging 48, 995-1004, 2021
7 2021 A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in F]FDG PET/CT P Nikulin, S Zschaeck, J Maus, P Cegla, E Lombardo, C Furth, ...
European Journal of Nuclear Medicine and Molecular Imaging 50 (9), 2751-2766, 2023
3 2023 18F-Fluorodeoxyglucose positron emission tomography of head and neck cancer: location and HPV specific parameters for potential treatment individualization S Zschaeck, J Weingärtner, E Lombardo, S Marschner, M Hajiyianni, ...
Frontiers in Oncology 12, 870319, 2022
3 2022 Time efficient scatter correction for time-of-flight PET: the immediate scatter approximation P Nikulin, J Maus, F Hofheinz, A Lougovski, J Van den Hoff
Physics in Medicine & Biology 64 (7), 075005, 2019
3 2019 Asphericity derived from [18 F]FDG PET as a new prognostic parameter in cervical cancer patients P Cegla, F Hofheinz, E Burchardt, R Czepczyński, A Kubiak, ...
Scientific Reports 13 (1), 8423, 2023
1 2023 Deep-learning-based automated delineation and classification of lung cancer in [18F] FDG PET/CT P Nikulin, E Fitis, F Hofheinz, J Kotzerke, C Furth, H Amthauer, O Elicin, ...
Nuklearmedizin-NuclearMedicine 63 (02), L54, 2024
2024 Prognostic value of total tumor burden measured by FDG-PET in patients with locally advanced non-small-cell lung cancer F Hofheinz, E Fitis, P Nikulin, J van den Hoff, S Zschaeck
Nuklearmedizin-NuclearMedicine 63 (02), P76, 2024
2024 Automatic optimization of bilateral filter parameters in clinical PET J Maus, P Nikulin, F Hofheinz, A Braune, J Kotzerke, J van den Hoff
Nuklearmedizin-NuclearMedicine 63 (02), P16, 2024
2024 A convolutional neural network for respiratory motion correction in PET B Rosin, P Nikulin, F Hofheinz, J Maus, A Braune, J Kotzerke, ...
2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023
2023 An unsupervised deep learning framework for respiratory motion correction in PET B Rosin, P Nikulin, F Hofheinz, J Maus, A Braune, J Kotzerke, ...
Nuklearmedizin-NuclearMedicine 62 (02), V34, 2023
2023 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
Nuklearmedizin-NuclearMedicine 62 (02), L26, 2023
2023 Deep learning enhanced bilateral post-filtering of noisy PET data J Maus, P Nikulin, F Hofheinz, B Rosin, A Braune, J Kotzerke, ...
Nuklearmedizin-NuclearMedicine 61 (02), P38, 2022
2022 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, ...
Nuklearmedizin-NuclearMedicine 61 (02), L6, 2022
2022 Automated objective optimization of iterative image reconstruction protocols P Nikulin, J Maus, F Hofheinz, J van den Hoff
Nuklearmedizin-NuclearMedicine 60 (02), V43, 2021
2021 Evaluation of tube size variations to improve resolution in tube-of-response based image reconstruction for Ga68 PET J Maus, P Nikulin, F Hofheinz, J Kotzerke, J van den Hoff
Nuklearmedizin-NuclearMedicine 59 (02), V1, 2020
2020 A convolutional neural network for fully automated blood SUV determination in oncological FDG-PET P Nikulin, F Hofheinz, J Maus, J Pietsch, Y Li, R Bütof, C Lange, C Furth, ...
Nuklearmedizin-NuclearMedicine 59 (02), P100, 2020
2020 Accelerated time-of-flight scatter correction for whole-body PET P Nikulin, J Maus, F Hofheinz, J van den Hoff
Nuklearmedizin-NuclearMedicine 58 (02), L4, 2019
2019 An Algorithm for Maximum-Likelihood Estimation of the Timing Resolution in TOF-PET P Nikulin, A Lougovski, F Hofheinz, J Maus, J Hoff
Comparison of MLAA-derived attenuation maps with and without utilisation of time-of-flight information in the attenuation estimation step P Nikulin, A Lougovski, F Hofheinz, J Maus, J Hoff