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Dr Rupal Kapdi

vidwan id: 348698
Female

Assistant Professor, Department of Computer Science and Engineering
Institute of Technology, Nirma University

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 25
Books 0
Proceedings 0

Publications

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Scopus

Citations 222
h-index 7

CrossRef

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Citations 102
h-index 6
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Professional Recognition

2019

Monetary award for Survival Prediction Task in BraTS 2019

Intel AI

Community & Membership

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ISTE

2009
Life Member

Bio

Medical Image Processing, Deep Learning, Machine Learning, AI in Healthcare

Personal Details

  • Female
  • Assistant Professor , Institute of Technology, Nirma University
  • Nirma University S.G. Highway
Ph.D
Other Institute 2021
Assistant Professor Jul 2010 – Present
Institute of Technology, Nirma University | Department of Computer Science and Engineering

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Co-Authors (7)

Deepti

Ms Deepti Saraswat

Institute of Technology, Nirma University

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Mr Jayendra Bhalodiya

Ahmedabad University, Ahmadabad

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Scholarly Work

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Scholarly Publications

Deriving and interpreting robust features for survival prediction of brain tumor patients

Open Access
Article

A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images

Open Access
Article

Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets

Open Access
Article

Early prediction of prevalent diseases using IoMT

Open Access
Book Chapter
Authors: Patel J.;Patel J.;Kapdi R.;Patel S.

Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine

Open Access
Book
Authors: Raval M.S.;Roy M.;Kaya T.;Kapdi R.

Interpretability of Segmentation and Overall Survival for Brain Tumors

Open Access
Book Chapter
Authors: Kapdi R.;Rajput S.;Roy M.;Raval M.S.

CONCOLLA - A SMART EMOTION-BASED MUSIC RECOMMENDATION SYSTEM FOR DRIVERS

Open Access
Article
Authors: Patel J.;Padaria A.A.;Mehta A.;Chokshi A.;Patel J.;Kapdi R.

Interpretable machine learning model to predict survival days of malignant brain tumor patients

Open Access
Article
Authors: Rajput S.;Kapdi R.A.;Raval M.S.;Roy M.