A. Largent

Automatic brain segmentation in preterm infants with post‐hemorrhagic hydrocephalus using 3D Bayesian U‐Net

Sudeepta K. Basu, C. Limperopoulos, A. Largent, 2022, Human brain mapping.

Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning.

Renaud de Crevoisier, Caroline Lafond, Oscar Acosta, 2019, International journal of radiation oncology, biology, physics.

Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

O. Acosta, A. Simon, A. Largent, 2020, Medical physics.

Head-and-Neck MRI-only radiotherapy treatment planning: From acquisition in treatment position to pseudo-CT generation.

O. Acosta, H. Saint-Jalmes, A. Largent, 2020, Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique.

Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review.

O. Acosta, A. Largent, A. Barateau, 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Pseudo-CT Generation for MRI-Only Radiation Therapy Treatment Planning: Comparison Among Patch-Based, Atlas-Based, and Bulk Density Methods.

Caroline Lafond, Oscar Acosta, Axel Largent, 2019, International journal of radiation oncology, biology, physics.

29 Pseudo-CT generation for MRI-only radiotherapy treatment planning: comparison between patch-based, atlas-based and bulk density methods

P. Greer, O. Acosta, H. Saint-Jalmes, 2018, Physica Medica.

A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture.

P. Greer, O. Acosta, A. Largent, 2022, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Role of quantitative computed tomography texture analysis in the prediction of adherent perinephric fat

K. Bensalah, S. Shariat, O. Acosta, 2018, World Journal of Urology.

Image Quality Assessment of Fetal Brain MRI Using Multi‐Instance Deep Learning Methods

C. Limperopoulos, A. Largent, Josepheen De Asis-Cruz, 2021, Journal of magnetic resonance imaging : JMRI.

Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach

C. Limperopoulos, A. Largent, K. Kapse, 2022, American Journal of Neuroradiology.