Follow
Andrei Iantsen
Andrei Iantsen
LaTIM, INSERM, UMR 1101, University Brest
Verified email at inserm.fr
Title
Cited by
Cited by
Year
Head and neck tumor segmentation in PET/CT: the HECKTOR challenge
V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ...
Medical image analysis 77, 102336, 2022
1712022
Squeeze-and-excitation normalization for automated delineation of head and neck primary tumors in combined PET and CT images
A Iantsen, D Visvikis, M Hatt
Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021
832021
Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting
A Iantsen, M Ferreira, F Lucia, V Jaouen, C Reinhold, P Bonaffini, J Alfieri, ...
European Journal of Nuclear Medicine and Molecular Imaging 48, 3444-3456, 2021
232021
Squeeze-and-excitation normalization for brain tumor segmentation
A Iantsen, V Jaouen, D Visvikis, M Hatt
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
162021
Альтернативные оценки доходов населения в регионах России
АВ Янцен
Пространственная экономика, 52-70, 2017
112017
Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer
S Sepehri, O Tankyevych, A Iantsen, D Visvikis, M Hatt, C Cheze Le Rest
Frontiers in oncology 11, 726865, 2021
72021
Encoder-decoder network for brain tumor segmentation on multi-sequence MRI
A Iantsen, V Jaouen, D Visvikis, M Hatt
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
12020
Accurate Tumor Delineation vs. Rough for 18F-FDG Volume PET/CT of Interest Radiomics-Analysis Based Prognostic Modeling in Non-Small Cell Lung Cancer
S Sepehri, O Tankyevych, A Iantsen, D Visvikis, M Hatt, CC Le Rest
Breakthrough in Imaging-Guided Precision Medicine in Oncology, 2022
2022
Automated tumor segmentation in multimodal PET/CT/MR imaging
A Iantsen
Université de Bretagne occidentale-Brest, 2022
2022
Fully Automated Detection and Segmentation of Hypermetabolic Lesions in Pretherapeutic [F-18] FDG PET/CT Images of Lymphoma and Sarcoidosis Patients
A Iantsen, P Lovinfosse, M Ferreira, A Jadoul, N Withofs, C Derwael, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021
2021
Automated Cervical Primary Tumor Functional Volume Segmentation in PET Images
A Iantsen, F Lucia, M Ferreira, P Bonaffini, I Masson, A Mervoyer, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 46 (SUPPL 1 …, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–11