Amog Rao

Research Fellow @ Microsoft Research India

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Hi! I am currently a Research Fellow at Microsoft Research India. My research interests focus on world models, computer vision, multi-modal learning, with a focus on medical AI and deployable systems for healthcare.

Previously, I was a Visiting Student Researcher at MBZUAI working under Dr. Hisham Cholakkal, where I vision-language models for medical imaging settings. Before that, I conducted research with Prof. Yangming Ou and Dr. Rina Bao from Harvard Medical School on neonatal brain MRI and medical image segmentation. Under the Meta Llama Impact Grant, I contributed to AI for social impact as a Machine Learning Intern at Wadhwani AI, working on systems to improve English pronunciation proficiency. I also spent a summer at the IISc Sustainable Transportation Lab and have worked on geospatial computer vision at the Geo AI lab.

I have completed my B.Tech in Computer Science & Artificial Intelligence from Plaksha University.

My website is being developed right now. This page will be updated soon!


Experience

See my full experience timeline here.

news

Jul 06, 2026 Thrilled to have joint Microsoft Research India’s CARE group! Looking forward to work on multi-modal learning for healthcare :)
Mar 26, 2026 Happy to be serving as a Reviewer for MICCAI 2026!
Jan 13, 2026 Our paper on bone suppression of CXRs for pneumothorax segmentation has been accepted at IEEE ISBI 2026 (main track) 🇬🇧 and has been selected for oral presentation!
Dec 15, 2025 Happy to share that I have joined Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) 🇦🇪 as a Visiting Student Researcher in the Computer Vision Department!
Sep 25, 2025 Presenting our MICCAI 2025 main track paper in Daejeon, Republic of Korea 🇰🇷! Our work focuses on spatial prior-guided neonatal HIE lesion segmentation. Check out the reviews and the paper.
Jun 24, 2025 My first research paper has been accepted MICCAI 2025 (main track) 🇰🇷!
Jun 02, 2025 I am excited to share that I have joined Wadhwani AI as a Machine Learning Intern! I would be working in the Spoken English Assessment and Proficiency (SEAP) project under the Meta Llama Impact Grant. Looking froward to contributing to AI for Social Impact and learning from an incredible team!

selected publications

  1. MICCAI 2025
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    Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy
    Amog Rao*, Ananya Shukla*, Jia Bhargava, Yangming Ou, and Rina Bao
    In proceedings of Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Sep 2025
  2. ISBI 2026
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    Obscuration to Clarity: Bone Suppression for Enhanced Localization in Pneumothorax Segmentation of Chest Radiographs
    Ananya Shukla*, Amog Rao*, Siddharth S., and Rina Bao
    In 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), Apr 2026 🎤 Oral Presentation 🎤