Mercy Ranjit

According to our database, Mercy Ranjit authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

MAIRA-2: Grounded Radiology Report Generation.

Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie L. Hyland

CoRR, 2024

Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs.

Somnath Kumar, Vaibhav Balloli, Mercy Ranjit, Kabir Ahuja, Tanuja Ganu, Sunayana Sitaram, Kalika Bali, Akshay Nambi

CoRR, 2024

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.

Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson, Fernando Pérez-García, Stephanie L. Hyland, Shruthi Bannur, Daniel C. Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Stephen Harris, Joseph Jacob

CoRR, 2024

RAD-PHI2: Instruction Tuning PHI-2 for Radiology.

Mercy Ranjit, Gopinath Ganapathy, Shaury Srivastav, Tanuja Ganu, Srujana Oruganti

CoRR, 2024

Rad-Phi2: Instruction Tuning Phi2 for Radiology.

Mercy Ranjit, Gopinath Ganapathy, Shaury Srivastav, Srujana Oruganti, Tanuja Ganu

Adv. Artif. Intell. Mach. Learn., 2024

Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.

Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

MAIRA at RRG24: A specialised large multimodal model for radiology report generation.

Shaury Srivastav, Mercy Ranjit, Fernando Pérez-García, Kenza Bouzid, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Harshita Sharma, Maximilian Ilse, Valentina Salvatelli, Sam Bond-Taylor, Fabian Falck, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, Javier Alvarez-Valle

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

MAIRA-1: A specialised large multimodal model for radiology report generation.

Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P. Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle

CoRR, 2023

Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs.

Akshay Uttama Nambi, Vaibhav Balloli, Mercy Prasanna Ranjit, Tanuja Ganu, Kabir Ahuja, Sunayana Sitaram, Kalika Bali

CoRR, 2023

Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models.

Mercy Prasanna Ranjit, Gopinath Ganapathy, Ranjit Manuel, Tanuja Ganu

Proceedings of the Machine Learning for Healthcare Conference, 2023

2019

Efficient Deep Learning Hyperparameter Tuning Using Cloud Infrastructure: Intelligent Distributed Hyperparameter Tuning with Bayesian Optimization in the Cloud.

Mercy Prasanna Ranjit, Gopinath Ganapathy, Kalaivani Sridhar, Vikram Arumugham

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019