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1.
Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study.
Diagnostics (Basel)
; 13(20)2023 Oct 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-37892030
2.
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans Med Imaging
; 42(3): 697-712, 2023 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36264729
3.
Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment.
Front Neuroimaging
; 1: 977491, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-37555157
4.
Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy.
Cancers (Basel)
; 14(12)2022 Jun 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-35740659
5.
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Med Image Anal
; 82: 102605, 2022 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-36156419
6.
CNN-based lung CT registration with multiple anatomical constraints.
Med Image Anal
; 72: 102139, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34216959
7.
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Res Sq
; 2021 Jun 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-34100010
8.
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans.
Int J Comput Assist Radiol Surg
; 14(11): 1901-1912, 2019 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-31538274
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