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Manasee DhoreMD
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Manasee Dhore

@manaseedhore

I build deep learning pipelines for medical image analysis and ultrasound measurement.

India
Message

What I'm looking for

I'm looking to apply deep learning, computer vision, and medical image analysis to challenging real-world engineering problems, particularly where high-precision AI systems can improve clinical measurement and imaging workflows.

At HTIC–IGRS, IIT Madras, I build end-to-end deep learning pipelines for image and video preprocessing, metadata parsing, and spatial metric estimation.

I develop classification, artifact-filtering, and semantic segmentation models for medical imaging, extracting anatomical structures and quantitative measurements across imaging modalities. My work combines computer vision, image processing, and high-precision model deployment.

I've contributed to ultrasound-biometry research accepted at MICCAI 2026 and CUSP 2026, including a unified multi-task architecture spanning 20+ clinical parameters and nine anatomical structure classes.

Experience

Work history, roles, and key accomplishments

HM
Current

Project Engineer (Deep Learning)

Healthcare Technology Innovation Center (HTIC), IIT Madras

Mar 2025 - Present (1 year 6 months)

Engineered end-to-end automated deep learning pipelines for image/video preprocessing, frame-level metadata parsing, and spatial metric estimations. Developed classification, artifact-filtering, and semantic segmentation models for medical imaging.

Education

Degrees, certifications, and relevant coursework

Central University of Rajasthan logoCR

Central University of Rajasthan

Bachelor of Technology, Biomedical Engineering

2021 - 2025

Activities and societies: Advanced Academic Coursework at IIT Madras: EE5178 Modern Computer Vision (Jan-May 2026) and DA5400 Foundations of Machine Learning (Jul-Nov 2026).

Bachelor of Technology in Biomedical Engineering from Central University of Rajasthan, completed in 2025.

Tech stack

Software and tools used professionally

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