Publications

[8] Segmentation, Tracking, and Sub-cellular Feature Extraction in 3D Time-Lapse Imagery 

Jiaxiang Jiang, Amil Khan, S. Shailja, Samuel A. Belteton, Michael Goebel, Daniel B. Szymanski, B.S. Manjunath, Nature Scientific Reports 

[7] Geographic Atrophy Lesion Segmentation Using Multimodal Deep Learning Networks 

Theodore Spaide, Jiaxiang Jiang, Jasmine Patil, Neha Anegondi, Verena Steffen, Michael Kawczynski, Liz Newton, Christina Rabe, Simon Gao, Aaron Lee, Frank G. Holz, SriniVas Sadda, Steffen Schmitz-Valckenberg, and Daniela Ferrara, TVST 

[6] Effects of activation method and temperature to III-nitride micro-light-emitting diodes with tunnel junction contacts grown by metalorganic chemical vapor deposition

Matthew S. Wong, Nathan C. Palmquist, Jiaxiang Jiang, Philip Chan, Changmin Lee, Panpan Li, Ji Hun Kang, Yong Hyun Baek, Chae Hon Kim, Daniel A. Cohen1, Tal Margalith, James S. Speck, Shuji Nakamura, and Steven P. DenBaars, Applied Physics Letters, November 2021

[5] Analysis of numerical feature extraction from automated geographic atrophy segmentation 

Theodore Spaide, Jasmine Patil, Jiaxiang Jiang, Neha Anegondi, Michael Kawczynski, Verena Steffen, Simon S Gao, Investigative Ophthalmology & Visual Science, June 2021

[4] Semi Supervised Segmentation and Graph-based Tracking of 3D Nuclei in Time-lapse Microscopy

S. Shailja*, Jiaxiang Jiang* (*denotes equal contribution), B.S. Manjunath, 2021 International Symposium on Biomedical Imaging (ISBI), Nice, France

[3] 3D Cell Segmentation Using Deep Feature and CRF Refinement—A Cloud Based GPU Enabled Module on BisQue Platform

Jiaxiang Jiang, Amil Khan, Po-Yu Kao, Samuel A. Belteton, Daniel B. Szymanski, B.S. Manjunath, UCSB LIMPID Workshop 2020

[2] Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information

Po-Yu Kao, Shailja, Jiaxiang Jiang, Angela Zhang, Amil Khan, Jefferson W. Chen, B.S. Manjunath, Frontier Computational Neuroscience