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Rupal Kapdi

Observed names: Kapdi Rupal, Kapdi, Rupal A., RUPAL KAPDI, Rupal A Kapdi, Rupal A. Kapdi, Rupal R. Agravat
Institution: Nirma University
ORCID: 0000-0003-1995-4149
Observed ORCID: 0000-0003-1995-4149
OpenAlex ID: A5024122307
Object detection using deep neural networks
2017 · Malay Shah, Rupal Kapdi · International Conference on Intelligent Computing and Control Systems (ICICCS) · 42
Prediction of Overall Survival of Brain Tumor Patients
2019 · Rupal R. Agravat, Mehul S. Raval · IEEE Region 10 Conference (TENCON) · 32
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Interpretable machine learning model to predict survival days of malignant brain tumor patients
2023 · Snehal Rajput, Rupal A Kapdi, et al. · Machine Learning Science and Technology · 25
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Explainable AI in Healthcare
2023 · Mehul S Raval, Mohendra Roy, et al. · Chapman & Hall/CRC eBooks · 21
A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images
2024 · Snehal Rajput, Rupal Kapdi, et al. · Healthcare Analytics · 18
Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets
2023 · SNEHAL RAJPUT, RUPAL KAPDI, et al. · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · 14
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Image-based Seat Belt Fastness Detection using Deep Learning
2022 · Rupal A. Kapdi, Pimal Khanpara, et al. · Scalable Computing Practice and Experience · 11
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Brain Tumor Segmentation Using K-means–FCM Hybrid Technique
2018 · Patel Vaibhavi, Kapdi Rupal · Advances in intelligent systems and computing · 10
Interpretability of Segmentation and Overall Survival for Brain Tumors
2023 · Rupal Kapdi, Snehal Rajput, et al. · Chapman & Hall/CRC eBooks · 6
Copy move forgery detection using SIFT and GMM
2015 · Neetu Yadav, Rupal Kapdi · Nirma University International Conference on Engineering · 6
Deriving and interpreting robust features for survival prediction of brain tumor patients
2024 · Snehal Rajput, Rupal A. Kapdi, et al. · International Journal of Imaging Systems and Technology · 4
ConCollA - A Smart Emotion-based Music Recommendation System for Drivers
2023 · Jigna Patel, Ali Asgar Padaria, et al. · Scalable Computing Practice and Experience · 4
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Three Class Classification of Alzheimer’s Disease Using Deep Neural Networks
2022 · Rupal A. Kapdi, Deep R. Shah, et al. · Current Medical Imaging Formerly Current Medical Imaging Reviews · 3
Comparative Study of Various Cooling Schedules for Location Area Planning in Cellular Networks Using Simulated Annealing
2009 · Nilesh B. Prajapati, Rupal R. Agravat, et al. · 3
U-Net: A Versatile Deep Learning Architecture for Multi-Disease Detection
2024 · Snehal Rajput, Rupal Kapdi, et al. · Biological and medical physics, biomedical engineering · 2
Early Prediction of Prevalent Diseases Using IoMT
2023 · Jigna Patel, Jitali Patel, et al. · CRC Press eBooks · 2
Brain Tumor Segmentation Using Fully Convolution Neural Network
2023 · Rupal A. Kapdi, Jigna A. Patel, et al. · Lecture notes in electrical engineering · 2
Customer Segmentation with RFM Analysis Using Support Vector Machine
2025 · Kuheli Bose, Rupal A. Kapdi, et al. · Lecture notes in electrical engineering · 1
Weed Recognition in Brinjal Crop using Deep Learning
2025 · Jitali Patel, Jigna Patel, et al. · Procedia Computer Science · 1
An Optimized Search-Enabled Hotel Recommender System
2023 · Mudita Sandesara, Prithvi Sharan, et al. · Lecture notes in electrical engineering · 1
Yoga Pose Estimation Using Machine Learning
2023 · Ishika Shah, Greeva Khant, et al. · Lecture notes in networks and systems · 1
Copy Move Forgery Detection Using SIFT Features- An Analysis
2015 · Rupal Kapdi, Neetu Yadav · 1
Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
2026 · Pate, Rut, Rajput, Snehal, et al. · arXiv (Cornell University)
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Deep Learning Approaches for Predicting Remaining Useful Life of Sensor-Equipped Machines
2026 · Jitali Patel, Jigna Patel, et al. · Procedia Computer Science
Deep into Emotions: A Deep Learning Approach to Detect Depression
2026 · Jigna Patel, Jitali Patel, et al. · Procedia Computer Science
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Works count: 30
Citation count: 210
H-index: 8
I10-index: 8
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