Ronnie Rajan

According to our database, Ronnie Rajan authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation.

Tathagata Raha, Clément Christophe, Nada Saadi, Hamza Javed, Marco AF Pimentel, Ronnie Rajan, Praveenkumar Kanithi

CoRR, January, 2026

Overalignment in Frontier LLMs: An Empirical Study of Sycophantic Behaviour in Healthcare.

Clément Christophe, Wadood M. Abdul, Prateek Munjal, Tathagata Raha, Ronnie Rajan, Praveenkumar Kanithi

CoRR, January, 2026

Do Instruction-Tuned Models Always Perform Better Than Base Models? Evidence from Math and Domain-Shifted Benchmarks.

Prateek Munjal, Clément Christophe, Ronnie Rajan, Praveenkumar Kanithi

CoRR, January, 2026

2025

Bridging Language Barriers in Healthcare: A Study on Arabic LLMs.

Nada Saadi, Tathagata Raha, Clément Christophe, Marco AF Pimentel, Ronnie Rajan, Praveen K. Kanithi

CoRR, January, 2025

Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs.

Prateek Munjal, Ahmed Al-Mahrooqi, Ronnie Rajan, Andrew Jeremijenko, Iftikhar Ahmad, Muhammad Imran Akhtar, Marco A. F. Pimentel, Shadab Khan

npj Digit. Medicine, 2025

Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency.

Svetlana Maslenkova, Clément Christophe, Marco AF Pimentel, Tathagata Raha, Muhammad Umar Salman, Ahmed Al-Mahrooqi, Avani Gupta, Shadab Khan, Ronnie Rajan, Praveen K. Kanithi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Named Clinical Entity Recognition Benchmark.

Wadood M. Abdul, Marco AF Pimentel, Muhammad Umar Salman, Tathagata Raha, Clément Christophe, Praveen K. Kanithi, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications.

Praveen K. Kanithi, Clément Christophe, Marco AF Pimentel, Tathagata Raha, Nada Saadi, Hamza Javed, Svetlana Maslenkova, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches.

Clément Christophe, Praveen K. Kanithi, Prateek Munjal, Tathagata Raha, Nasir Hayat, Ronnie Rajan, Ahmed Al-Mahrooqi, Avani Gupta, Muhammad Umar Salman, Gurpreet Gosal, Bhargav Kanakiya, Charles Chen, Natalia Vassilieva, Boulbaba Ben Amor, Marco AF Pimentel, Shadab Khan

CoRR, 2024

2021

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.

A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver

Medical Image Anal., 2021

2020

Covid19action-radiology-CXR.

Debdoot Sheet, Arunava Chakravarty, Tandra Sarkar, Rakshith Sathish, Aditya Raj, Velmurugan Balasubramanian, Ronnie Rajan, Rachana Sathish, Nishant Chakravorty, Manjira Sinha, Manoj Sharma, Vikas Kumar, Rajiv Kumar, Abhishek Kumar, Atul Singhal, Gowtham Reddy

Dataset, May, 2020

2019

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.

Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019