Rajat S. Chandra

According to our database, Rajat S. Chandra authored at least 4 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction.

Daniel D. Kim, Rajat S. Chandra, Li Yang, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Anahita Fathi Kazerooni, Ali Nabavizadeh, Zhicheng Jiao, Jian Peng, Harrison X. Bai

J. Imaging Inform. Medicine, 2024

2023

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information.

Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra, Helen Zhang, Jian Peng, Binghong Han, Gaofeng Huang, Quan Chen, Sohil H. Patel, Chetan Bettagowda, Haris I. Sair, Craig K. Jones, Zhicheng Jiao, Li Yang, Harrison X. Bai

J. Imaging Inform. Medicine, 2023

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.

Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Li Yang, Anahita Fathi Kazerooni, Ali Nabavizadeh, Harrison X. Bai, Zhicheng Jiao

CoRR, 2023

2020

SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing.

Isabel Metzger, Emir Y. Haskovic, Allison Black, Whitley M. Yi, Rajat S. Chandra, Mark T. Rutledge, William McMahon, Yindalon Aphinyanaphongs

Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020