Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction. - Rudresh Deepak Shirwaikar; Dinesh Acharya U.; Krishna Moorthi Makkithaya; Surulivelrajan M; Shikhar Srivastava 001; Leslie Edward S. Lewis U (Artif. Intell. Medicine, 2019)

Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. - Shikhar Srivastava 001; Mohammad Yaqub; Karthik Nandakumar; Zongyuan Ge; Dwarikanath Mahapatra (DART/FAIR@MICCAI, 2021)

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. - Ruchika Verma; Neeraj Kumar 002; Abhijeet Patil; Nikhil Cherian Kurian; Swapnil Rane; Simon Graham; Quoc Dang Vu; Mieke Zwager; Shan-E-Ahmed Raza; Nasir M. Rajpoot; Xiyi Wu; Huai Chen; et al. (IEEE Trans. Medical Imaging, 2021)

Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. - Shikhar Srivastava 001; Mohammad Yaqub; Karthik Nandakumar (CVPR Workshops, 2023)

Improving Multimodal Large Language Models Using Continual Learning. - Shikhar Srivastava 001; Md Yousuf Harun; Robik Shrestha; Christopher Kanan (CoRR, 2024)

Revisiting Multi-Modal LLM Evaluation. - Jian Lu; Shikhar Srivastava 001; Junyu Chen 005; Robik Shrestha; Manoj Acharya; Kushal Kafle; Christopher Kanan (CVPR Workshops, 2025)