Jaikishan Jayakumar

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Transfer Learning

Semantic Segmentation

Deformation Field

Brain Structures

Top Venues

Nat. Mach. Intell.

Publications

Tanvi Kulkarni, K. H. Aqil, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam
Learning to atlas register for rapid segmentation of brain structures in fetal MRI. Medical Imaging: Image Processing (2023)
K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam
Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields. PRIME@MICCAI (2023)
Ashika Sharma, Jaikishan Jayakumar, Namrata Sankaran, Partha P. Mitra, Sutanu Chakraborti, P. Sreenivasa Kumar
ConnExt-BioBERT: Leveraging Transfer Learning for Brain-Connectivity Extraction from Neuroscience Articles. BI (2021)
Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. Nat. Mach. Intell. 2 (10) (2020)
Dingkang Wang, Lucas Magee, Bing-Xing Huo, Samik Banerjee, Xu Li, Jaikishan Jayakumar, Meng-Kuan Lin, Keerthi Ram, Suyi Wang, Yusu Wang, Partha P. Mitra
Detection and skeletonization of single neurons and tracer injections using topological methods. CoRR (2020)