Orlando Aristizabal

In vivo 3D quantitative analysis of the mouse embryonic brain with a 38 MHz annular array and coded excitation

Jonathan Mamou, Orlando Aristizabal, Daniel H. Turnbull, 2010, 2010 IEEE International Ultrasonics Symposium.

Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes

Yao Wang, Jonathan Mamou, Orlando Aristizabal, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning

Yao Wang, Jonathan Mamou, Orlando Aristizabal, 2019, 2019 IEEE International Ultrasonics Symposium (IUS).

Scanner Independent Deep Learning-Based Segmentation Framework Applied to Mouse Embryos

Yao Wang, Jonathan Mamou, Orlando Aristizabal, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Automatic mouse embryo brain ventricle segmentation from 3D 40-MHz ultrasound data

Yao Wang, Jonathan Mamou, Orlando Aristizabal, 2013, 2013 IEEE International Ultrasonics Symposium (IUS).

40-MHz ultrasound imaging with chirps and annular arrays

Jonathan Mamou, Ronald H. Silverman, Orlando Aristizabal, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Coherence-weighted beamforming and automated vessel segmentation for improving photoacoustic imaging of embryonic vasculature using annular arrays

Erwan Filoux, Jonathan Mamou, Parag V. Chitnis, 2013, 2013 IEEE International Ultrasonics Symposium (IUS).

Large-scale reorganization of the tonotopic map in mouse auditory midbrain revealed by MRI

Orlando Aristizabal, Xin Yu, Youssef Zaim Wadghiri, 2007, Proceedings of the National Academy of Sciences.

Automatic mouse embryo brain ventricle segmentation, gestation stage estimation, and mutant detection from 3D 40-MHz ultrasound data

Jonathan Mamou, Orlando Aristizabal, Daniel H. Turnbull, 2015, 2015 IEEE International Ultrasonics Symposium (IUS).