Automated cardiac volume segmentation DI Golden, J Axerio-Cilies, M Le, TA Taerum, J Lieman-Sifry US Patent 10,871,536, 2020 | 100 | 2020 |
Automated lesion detection, segmentation, and longitudinal identification TA Taerum, HK Lau, S Sall, M Le, J Axerio-Cilies, DI Golden, ... US Patent App. 16/617,882, 2020 | 96 | 2020 |
Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineation J Unkelbach, BH Menze, E Konukoglu, F Dittmann, M Le, N Ayache, ... Physics in Medicine & Biology 59 (3), 747, 2014 | 91 | 2014 |
FastVentricle: Cardiac Segmentation with ENet J Lieman-Sifry, M Le, F Lau, S Sall, D Golden Functional Imaging and Modelling of the Heart, 127-138, 2017 | 71 | 2017 |
Automated segmentation utilizing fully convolutional networks DI Golden, M Le, J Lieman-Sifry, HK Lau US Patent 10,600,184, 2020 | 62 | 2020 |
Personalized radiotherapy planning based on a computational tumor growth model M Lê, H Delingette, J Kalpathy-Cramer, ER Gerstner, T Batchelor, ... IEEE transactions on medical imaging 36 (3), 815-825, 2016 | 54 | 2016 |
Extended modality propagation: image synthesis of pathological cases N Cordier, H Delingette, M Lê, N Ayache IEEE transactions on medical imaging 35 (12), 2598-2608, 2016 | 53 | 2016 |
Content based image retrieval for lesion analysis DI Golden, FRD Beckers, J Axerio-Cilies, M Le, J Lieman-Sifry, ... US Patent 11,551,353, 2023 | 49 | 2023 |
Sampling image segmentations for uncertainty quantification M Lê, J Unkelbach, N Ayache, H Delingette Medical image analysis 34, 42-51, 2016 | 40 | 2016 |
MRI based Bayesian personalization of a tumor growth model M Lê, H Delingette, J Kalpathy-Cramer, ER Gerstner, T Batchelor, ... IEEE transactions on medical imaging 35 (10), 2329-2339, 2016 | 39 | 2016 |
Bayesian personalization of brain tumor growth model M Lê, H Delingette, J Kalpathy-Cramer, ER Gerstner, T Batchelor, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 39 | 2015 |
Automated segmentation utilizing fully convolutional networks DI Golden, M Le, J Lieman-Sifry, HK Lau US Patent 10,902,598, 2021 | 36 | 2021 |
Automated segmentation utilizing fully convolutional networks DI Golden, M Le, J Lieman-Sifry, HK Lau US Patent App. 16/800,922, 2020 | 27 | 2020 |
Gpssi: Gaussian process for sampling segmentations of images M Lê, J Unkelbach, N Ayache, H Delingette Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 25 | 2015 |
Computationally efficient cardiac views projection using 3D convolutional neural networks M Le, J Lieman-Sifry, F Lau, S Sall, A Hsiao, D Golden Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 13 | 2017 |
Functional Imaging and Modelling of the Heart J Lieman-Sifry, M Le, F Lau, S Sall, D Golden FIMH 2017. Lecture Notes in Computer Science 10263, 127-138, 2017 | 8 | 2017 |
Multimodal analysis of vasogenic edema in glioblastoma patients for radiotherapy planning M Lê, H Delingette, J Kalpathy-Cramer, E Gerstner, HA Shih, T Batchelor, ... Workshop Image-Guided Adaptive Radiation Therapy, 2014 | 7 | 2014 |
Content based image retrieval for lesion analysis DI Golden, FRD Beckers, J Axerio-Cilies, M Le, J Lieman-Sifry, ... US Patent App. 18/063,616, 2023 | 3 | 2023 |
Brain tumor growth modeling: application to radiotherapy M Lê Université Nice Sophia Antipolis, 2016 | 1 | 2016 |
Modélisation de la croissance de tumeurs cérébrales: application à la radiothérapie M Lê Nice, 2016 | | 2016 |