Haresh Rengaraj Rajamohan

According to our database, Haresh Rengaraj Rajamohan authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data.

Haresh Rengaraj Rajamohan, Yuxuan Chen, Kyunghyun Cho, Cem M. Deniz

CoRR, March, 2026

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction.

Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Gabe Schulman, Huizhen Jin, Shengduo Li, Yixuan Wang, Huidi Yang, Kyunghyun Cho, Cem M. Deniz, Narges Razavian

CoRR, March, 2026

2025

A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis.

Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

Signal Image Video Process., October, 2025

Foundation Models for Clinical Records at Health System Scale.

Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Kyunghyun Cho, Cem M. Deniz, Narges Razavian

CoRR, July, 2025

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence.

Ozkan Cigdem, Eisa Hedayati, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Gregory Chang, Richard Kijowski, Cem M. Deniz

Comput. Biol. Medicine, 2025

2024

Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression.

Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

CoRR, 2024

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging.

Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

CoRR, 2024

2022

StrokeRehab: A Benchmark Dataset for Sub-second Action Identification.

Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training.

Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra

CoRR, 2021

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution.

Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2021

Finding Novel Links in COVID-19 Knowledge Graph Using Graph Embedding Techniques.

Ankit Patel, Saeel Shrivallabh Pai, Haresh Rengaraj Rajamohan, Manohar Bongarala, Rajanala Samyak

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

2019

Emotion Recognition from Speech.

Kannan Venkataramanan, Haresh Rengaraj Rajamohan

CoRR, 2019