Negin Baghbanzadeh

According to our database, Negin Baghbanzadeh authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains.

Ahmadreza Jeddi, Kimia Shaban, Negin Baghbanzadeh, Natasha Sharan, Abhishek Moturu, Elham Dolatabadi, Babak Taati

CoRR, March, 2026

2025

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning.

Negin Baghbanzadeh, Sajad Ashkezari, Elham Dolatabadi, Arash Afkanpour

CoRR, June, 2025

Similarity-Aware Token Pruning: Your VLM but Faster.

Ahmadreza Jeddi, Negin Baghbanzadeh, Elham Dolatabadi, Babak Taati

CoRR, March, 2025

Advancing Medical Representation Learning Through High-Quality Data.

Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2023

Fully robotic social environment for teaching and practicing affective interaction: Case of teaching emotion recognition skills to children with autism spectrum disorder, a pilot study.

Pegah Soleiman, Hadi Moradi, Bijan Mehralizadeh, Hamed Ameri, Rosa I. Arriaga, Hamid Reza Pouretemad, Negin Baghbanzadeh, Leila Kashani-Vahid

Frontiers Robotics AI, March, 2023