Jaikishan Jayakumar

According to our database, Jaikishan Jayakumar authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

MedSAM-Guided Curriculum Learning for White Matter Tract Segmentation in Block Face Imaging of Fetal Brain.

Athira Kalladayil Shibu, Sriprabha Ramanarayanan, Vinoth Kanna, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2023

Learning to atlas register for rapid segmentation of brain structures in fetal MRI.

Tanvi Kulkarni, K. H. Aqil, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields.

K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

2021

ConnExt-BioBERT: Leveraging Transfer Learning for Brain-Connectivity Extraction from Neuroscience Articles.

Ashika Sharma, Jaikishan Jayakumar, Namrata Sankaran, Partha P. Mitra, Sutanu Chakraborti, P. Sreenivasa Kumar

Proceedings of the Brain Informatics - 14th International Conference, 2021

2020

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks.

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

Nat. Mach. Intell., 2020

Detection and skeletonization of single neurons and tracer injections using topological methods.

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

CoRR, 2020