AutomaticMouseBrainVentricleSegmentationInUltrasoundVolumes


Project Participants:

Jen-wei Kuo1
Yao Wang1, Professor
Orlando Aristizabal2
Ziming Qiu1
Jack Langerman1
Jonathan Mamou2


1NYU Polytechnic School of Engineering, Brooklyn, NY
2Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY


Related Publications:

  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"Automatic Mouse Embryo Brain Ventricle Segmentation from 3D 40-MHz Ultrasound Data", IEEE International Ultrasonics Symposium (IUS), July 2013.
  2. Jen-wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa "A Novel Nested Graph Cuts Method for Segmenting Human Lymph Nodes in 3D High Frequency Ultrasound Images", 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), pp. 372-375. IEEE, 2015.
  3. Jen-wei Kuo, Jonathan Mamou, Orlando Aristiz√°bal, Xuan Zhao, Jeffrey A. Ketterling, Yao Wang "Nested Graph Cut for Automatic Segmentation of High-Frequency Ultrasound Images of the Mouse Embryo", IEEE transactions on medical imaging 35, no. 2 (2016): 427-441.
  4. Jen-wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, and Ernest J. Feleppa, Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution, Transactions on Ultrasonics Ferroelectrics and Frequency Control (TUFFC), 2017.
  5. Jen-wei Kuo, Ziming Qiu, Orlando Aristizbal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey Ketterling, and Yao Wang, Automatic Body Localization and Brain Ventricle Segmentation in 3D High Frequency Ultrasound Images of Mouse Embryos, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 635-639.
Page last modified on July 27, 2018, at 04:19 PM EST