Harish RaviPrakash
Harish RaviPrakash
Senior Data Scientist, AstraZeneca
Verified email at - Homepage
Cited by
Cited by
Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks
JR Burt, N Torosdagli, N Khosravan, H RaviPrakash, A Mortazi, ...
The British journal of radiology 91 (1089), 20170545, 2018
Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research
S Masoudi, SA Harmon, S Mehralivand, SM Walker, H Raviprakash, ...
Journal of Medical Imaging 8 (1), 010901-010901, 2021
Deep Learning provides exceptional accuracy to ECoG-based Functional Language Mapping for epilepsy surgery
H RaviPrakash, M Korostenskaja, EM Castillo, KH Lee, CM Salinas, ...
Frontiers in neuroscience, 409, 2020
Computerized Analysis of Brain MRI Parameter Dynamics in Young Patients With Cushing Syndrome—A Case-Control Study
A Tirosh, H RaviPrakash, GZ Papadakis, C Tatsi, E Belyavskaya, ...
The Journal of Clinical Endocrinology & Metabolism 105 (5), e2069-e2077, 2020
Brain tumor survival prediction using radiomics features
S Yousaf, SM Anwar, H RaviPrakash, U Bagci
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
Deep Learning for Functional Brain Connectivity: Are We There Yet?
H RaviPrakash, A Watane, S Jambawalikar, U Bagci
Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019
Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning
H RaviPrakash, M Korostenskaja, K Lee, J Baumgartner, E Castillo, ...
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
Morphometric and Functional Brain Connectivity Differentiates Chess Masters From Amateur Players
H RaviPrakash, SM Anwar, NM Biassou, U Bagci
Frontiers in Neuroscience 15, 629478, 2021
A survey on recent advancements for ai enabled radiomics in neuro-oncology
SM Anwar, T Altaf, K Rafique, H RaviPrakash, H Mohy-ud-Din, U Bagci
Radiomics and Radiogenomics in Neuro-oncology: First International Workshop …, 2020
Do It Yourself: Wearable Sensors and AI for Self‐Assessment of Mental Health
H RaviPrakash, SM Anwar
AI in Clinical Medicine: A Practical Guide for Healthcare Professionals, 94-103, 2023
A Combined Region-and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging
OA Ogunleye, H Raviprakash, AM Simmons, R Bovell, PE Martinez, ...
Tomography 9 (1), 139-149, 2023
Variational capsule encoder
H RaviPrakash, SM Anwar, U Bagci
2020 25th International Conference on Pattern Recognition (ICPR), 5820-5827, 2021
State-of-the-art in brain tumor segmentation and current challenges
S Yousaf, H RaviPrakash, SM Anwar, N Sohail, U Bagci
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
Quantifying the advantage of multimodal data fusion for survival prediction in cancer patients
N Nikolaou, D Salazar, H RaviPrakash, M Goncalves, R Mulla, ...
bioRxiv, 2024.01. 08.574756, 2024
Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality
M Korostenskaja, H Raviprakash, U Bagci, KH Lee, PC Chen, C Kapeller, ...
Brain-Computer Interface Research: A State-of-the-Art Summary 7, 11-29, 2019
Immunotherapy Efficacy Prediction in Cancer: An Artificial Intelligence Approach with Unannotated H&E Whole-Slide Images
G Dominguez Conde, T Qaiser, E Wu, CE de Andrea, J Shields, R Artzi, ...
medRxiv, 2024.02. 05.24301493, 2024
Towards a Survival Risk Prediction Model for Metastatic NSCLC Patients on Durvalumab Using Whole-Lung CT Radiomics
KA Patwardhan, H RaviPrakash, N Nikolaou, I Gonzalez-Garcia, ...
bioRxiv, 2024.02. 01.578458, 2024
Improving survival prediction using flexible late fusion machine learning framework for multi-omics data integration
N Nikolaou, D Salazar, H RaviPrakash, M Goncalves, GAA Argoty, ...
Cancer Research 83 (7_Supplement), 5395-5395, 2023
H RaviPrakash
University of Central Florida, 2020
Novel Computational Approaches For Multidimensional Brain Image Analysis
H Raviprakash
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