Các bài viết có thể truy cập công khai - Diana MateusTìm hiểu thêm
Không có ở bất kỳ nơi nào: 4
Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including FDG-PET radiomics: a combined analysis of two independent prospective …
B Jamet, L Morvan, C Nanni, AV Michaud, C Bailly, S Chauvie, P Moreau, ...
European journal of nuclear medicine and molecular imaging 48, 1005-1015, 2021
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Trainable summarization to improve breast tomosynthesis classification
M Tardy, D Mateus
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Các cơ quan ủy nhiệm: Department of Biotechnology, India
A Multiobjective Comparative Analysis of Reconstruction Algorithms in the Context of Low-Statistics 90Y-PET Imaging
M Millardet, S Moussaoui, J Idier, D Mateus, M Conti, C Bailly, S Stute, ...
IEEE Transactions on Radiation and Plasma Medical Sciences 6 (6), 629-640, 2021
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction
Y Moussaoui, D Mateus, S Moussaoui, T Carlier, S Stute
2024 46th Annual International Conference of the IEEE Engineering in …, 2024
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Có tại một số nơi: 20
Capsule networks against medical imaging data challenges
A Jiménez-Sánchez, S Albarqouni, D Mateus
Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018
Các cơ quan ủy nhiệm: European Commission
Memory-aware curriculum federated learning for breast cancer classification
A Jiménez-Sánchez, M Tardy, MAG Ballester, D Mateus, G Piella
Computer Methods and Programs in Biomedicine 229, 107318, 2023
Các cơ quan ủy nhiệm: European Commission, Government of Spain
Precise proximal femur fracture classification for interactive training and surgical planning
A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ...
International journal of computer assisted radiology and surgery 15, 847-857, 2020
Các cơ quan ủy nhiệm: European Commission, Federal Ministry of Education and Research, Germany
Medical-based deep curriculum learning for improved fracture classification
A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Các cơ quan ủy nhiệm: European Commission, Government of Spain
Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis
L Morvan, T Carlier, B Jamet, C Bailly, C Bodet-Milin, P Moreau, ...
International journal of computer assisted radiology and surgery 15, 129-139, 2020
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Leveraging random forests for interactive exploration of large histological images
L Peter, D Mateus, P Chatelain, N Schworm, S Stangl, G Multhoff, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Các cơ quan ủy nhiệm: German Research Foundation
Scale-adaptive forest training via an efficient feature sampling scheme
L Peter, O Pauly, P Chatelain, D Mateus, N Navab
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
Các cơ quan ủy nhiệm: German Research Foundation
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty
A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ...
Medical Image Analysis 75, 102273, 2022
Các cơ quan ủy nhiệm: European Commission, Government of Spain
18F-FDG-Based Radiomics and Machine Learning: Useful Help for Aortic Prosthetic Valve Infective Endocarditis Diagnosis?
T Godefroy, G Frécon, A Asquier-Khati, D Mateus, R Lecomte, M Rizkallah, ...
Cardiovascular Imaging 16 (7), 951-961, 2023
Các cơ quan ủy nhiệm: National Institute of Health and Medical Research, France, Agence Nationale …
Prognostic value of 18F-FDG PET Radiomics features at baseline in PET-Guided consolidation strategy in diffuse large B-Cell lymphoma: a machine-learning analysis from the …
T Carlier, G Frécon, D Mateus, M Rizkallah, F Kraeber-Bodéré, S Kanoun, ...
Journal of Nuclear Medicine 65 (1), 156-162, 2024
Các cơ quan ủy nhiệm: National Institute of Health and Medical Research, France, Agence Nationale …
Muscle volume quantification: guiding transformers with anatomical priors
L Piecuch, V Gonzales Duque, A Sarcher, E Hollville, A Nordez, G Rabita, ...
International workshop on shape in medical imaging, 173-187, 2023
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Learned deep radiomics for survival analysis with attention
L Morvan, C Nanni, AV Michaud, B Jamet, C Bailly, C Bodet-Milin, ...
Predictive Intelligence in Medicine: Third International Workshop, PRIME …, 2020
Các cơ quan ủy nhiệm: National Institute of Health and Medical Research, France, Agence Nationale …
Landmark-based evaluation of a block-matching registration framework on the RESECT pre-and intra-operative brain image data set
D Drobny, M Ranzini, S Ourselin, T Vercauteren, M Modat
International Workshop on Large-scale Annotation of Biomedical data and …, 2019
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council, National Institute …
Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty
A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ...
arXiv preprint arXiv:2007.16102, 2020
Các cơ quan ủy nhiệm: European Commission, Government of Spain
Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET
M Millardet, S Moussaoui, D Mateus, J Idier, T Carlier
IEEE Transactions on Medical Imaging 39 (11), 3725-3736, 2020
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Lesion graph neural networks for 2-year progression free survival classification of diffuse large B-cell lymphoma patients
A Aswathi, M Rizkallah, G Frecon, C Bailly, C Bodet-Milin, O Casasnovas, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Các cơ quan ủy nhiệm: National Institute of Health and Medical Research, France
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