Semi Supervised Segmentation And Graph-Based Tracking Of 3d Nuclei In Time-Lapse Microscopy. - S. Shailja; Jiaxiang Jiang; B. S. Manjunath (ISBI, 2021)

A Computational Geometry Approach for Modeling Neuronal Fiber Pathways. - S. Shailja; Angela Zhang; B. S. Manjunath (MICCAI (8), 2021)

Deep Learning Enabled Time-Lapse 3D Cell Analysis. - Jiaxiang Jiang; Amil Khan; S. Shailja; Samuel A. Belteton; Michael Goebel; Daniel B. Szymanski; B. S. Manjunath (CoRR, 2022)

ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs. - S. Shailja; Jefferson W. Chen; Scott T. Grafton; B. S. Manjunath (CDMRI@MICCAI, 2023)

Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork. - S. Shailja; Jonathan Parlett; Abhishek S. Jeyapratap; Ali Shokoufandeh; Birkan Tunç; Yusuf Osmanlioglu (CDMRI@MICCAI, 2023)

ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI. - S. Shailja; Vikram Bhagavatula; Matthew Cieslak; Jean M. Vettel; Scott T. Grafton; B. S. Manjunath (IEEE Trans. Medical Imaging, 2023)

ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories. - Bowen Zhang; S. Shailja; Chandrakanth Gudavalli; Connor Levenson; Amil Khan; B. S. Manjunath (ICPR (7), 2024)

Reeb graphs for topological connectomics - S. Shailja (2024)