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Harish RaviPrakash
Senior Scientist
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Email:
Address:
AstraZeneca
35 Gatehouse Dr,
Waltham
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Harish RaviPrakash
I'm a Senior Scientist at the department of Machine Learning and Artificial Intelligence, Oncology Biometrics at AstraZeneca. My primary area of research is medical image analysis and survival analysis. Other research interests include deep learning, object segmentation, genomics.
EXPERIENCE
Jun 2021 -
Senior Scientist
AstraZeneca
Working on retrospective image and clinical data analysis.
Sep 2020 - May 2021
Post-doctoral Fellow
National Institutes of Health Clinical Center
Worked on identifying post-surgical language deficits in epileptic patients using statistical machine learning approaches.
July 2019 - July 2020
Pre-doctoral Fellow
National Institutes of Health Clinical Center
Worked on identifying functional differences in epilepsy patients using task based fMRI.
Oct 2014 - July 2015
Internship
GroboMac
Developed an algorithm to detect cotton in farms. Constructed a stereo-vision setup to return the position of the detected cotton for a robotic arm to extract in real-time.
Jun 2014 - Sep 2014
Internship
Kaybus
Worked to develop a text detection algorithm for Document Images. We developed an algorithm to detect Text lines using Haar DWT and used Tesseract OCR to extract the text from the image. Also tested HOG based approach to detect text lines in images.
Sep 2012 - Aug 2013
Research Assistant
Rensselaer Polytechnic Institute
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Worked with Dr. John W. Woods to develop a Rate Allocation Algorithm for MDFEC. In this project we developed an algorithm to optimize non-convex SVC encoder data for optimal rate allocation.
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Worked on National Science Foundation (NSF) Grant CNS - 1018398, "NeTS : Flexible Delivery of Streaming Video using Network-Aware MD-FEC Coding.
EDUCATION
Aug 2015 - Aug 2020
PhD
University of Central Florida
Department of Computer Science
Advisor: Dr. Ulas Bagci
Thesis focused on multimodal multi-dimensional brain image analysis
Jan 2011 - Dec 2011
Master of Science
Rensselaer Polytechnic Institute
Department of Electrical, Communications & Systems Engineering.
Advisor: Dr. John W. Woods
Thesis focused on Image denoising via Non-local Wiener filter.
July 2006 - July 2010
Bachelor of Engineering
M.S. Ramaiah Institute of Technology
Department of Telecommunications Engineering
UPDATES
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OHBM 2022: Poster
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Radiological Society of North America 2021: Scientific Poster
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International Conference on Pattern Recognition 2020: Poster
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Guest lecture on machine learning based MRI image analysis techniques. (Medical Image Computing (CAP 5516), Spring 2019)
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Invited talk at the Brain Awareness Symposium, UCF 2018.
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Awarded Certificate of Merit RSNA 2017
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Nominated for BCI Award 2017: Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality.
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Nominated for Best Student Paper Award IEEE SMC 2017
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Nominated for Best Conference Paper Award IEEE SMC 2017
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Guest lecture on MRI and fMRI modalities and their associated pre-processing techniques. (Medical Image Computing (CAP 5937), Spring 2017)
PUBLICATIONS
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"Immunotherapy Efficacy Prediction in Cancer: An Artificial Intelligence Approach with Unannotated H&E Whole-Slide Images." Gabriel Domínguez Conde, Talha Qaiser, Evan Wu, Carlos Eduardo de Andrea, Jennifer Shields, Ronen Artzi, Harish RaviPrakash, Kenneth Irabor, Paul Metcalfe, Joachim Reischl. medRxiv, 2024-02, 2024.
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"Towards a Survival Risk Prediction Model for Metastatic NSCLC Patients on Durvalumab Using Whole-Lung CT Radiomics." Kedar A. Patwardhan, Harish RaviPrakash, Nikos Nikolaou, Ignacio Gonzalez-Garcia, Domingo Jose Salazar, Paul Metcalfe, Joachim Reischl. bioRxiv, 2024-02, 2024.
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"Quantifying the advantage of multimodal data fusion for survival prediction in cancer patients." Nikolaos Nikolaou, Domingo Salazar, Harish RaviPrakash, Miguel Gonçalves, Rob Mulla, Nikolay Burlutskiy, Natasha Markuzon, Etai Jacob. bioRxiv, 2024-01, 2024.
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"The Fluidity of Age and Sex Differences for Language based Functional Connectivity Networks." Harish RaviPrakash, Ninet Sinaii, Ashlee M. Simmons, Jinqiang Liang, Sara Inati, William H. Theodore, Nadia M. Biassou. 28th Annual Meeting of the Organization of Human Brain Mapping (OHBM), 2022. [Accepted]
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"A Combined Region and Pixel Based Deep Learning Approach for Abdominal Adipose Tissue Quantification Using Dixon Magnetic Resonance Imaging." Li-Yueh Hsu, Harish RaviPrakash, Olanrewaju A. Ogunleye, Ashlee M. Simmons, Rhasaan T.M. Bovell, Pedro E. Martinez, Jack A. Yanovski, Karen F. Berman, Peter J. Schmidt, Elizabeth C. Jones, Hadi Bagheri, Nadia M. Biassou. Annual Meeting of the Radiological Society of North America (RSNA) 2021.
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"Morphometric and Functional Brain Connectivity Differentiates Chess Masters from Amateur Players." Harish RaviPrakash, Syed Muhammad Anwar, Nadia M Biassou and Ulas Bagci. Frontiers in Neuroscience, 2021.
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"Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research" Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Stephanie M. Walker, Harish Raviprakash, Ulas Bagci, Peter L. Choyke, Baris Turkbey. J. Med. Imag. 8(1), 010901 (2021), doi: 10.1117/1.JMI.8.1.010901.
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"Variational Capsule Encoder." Harish RaviPrakash, Syed Muhammad Anwar, and Ulas Bagci. 25th International Conference on Pattern Recognition, 2020.
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"Brain Tumor Survival Prediction using Radiomics Features." Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, and Ulas Bagci. Radiomics and Radiogenomics in Neuro-oncology using AI (RNO-AI) Workshop, MICCAI, 2020.
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"Deep Learning provides exceptional accuracy to ECoG-based Functional Language Mapping for epilepsy surgery." Harish RaviPrakash, Milena Korostenskaja, Eduardo Martinez Castillo, Ki Hyeong Lee, Christine Maria Salinas, James Baumgartner, Syed Muhammad Anwar, Concetto Spampinato, and Ulas Bagci. Frontiers in Neuroscience, 2020.
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"A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology." Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, and Ulas Bagci. Radiomics and Radiogenomics in Neuro-oncology, 2020.
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"Computerized Analysis of Brain MRI Parameter Dynamics in Young Patients With Cushing Syndrome—A Case-Control Study." Amit Tirosh, Harish RaviPrakash, Georgios Z. Papadakis, Christina Tatsi, Elena Belyavskaya, Lyssikatos Charalampos, Maya B. Lodish, Ulas Bagci, and Constantine A. Stratakis. The Journal of Clinical Endocrinology & Metabolism 105, no. 5 (2020): dgz303.
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"Gold standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality." Milena Korostenskaja, Harish Raviprakash, Ulas Bagci, K. H. Lee, P. C. Chen, C. Kapeller, Christine Salinas, Michael Westerveld, A Ralescu, J Xiang, James Baumgartner. In Brain-Computer Interface Research, pp. 11-29. Springer, Cham, 2019.
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"Deep Learning for Functional Brain Connectivity: Are We There Yet?" Harish RaviPrakash, Arjun Watane, Sachin Jambawalikar, and Ulas Bagci. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, pp. 347-365. Springer, Cham, 2019.
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"Virtual Radiologists: Current Status of Deep Learning in Radiology and Its Future Trends" Sarfaraz Hussein, Aliasghar Mortazi, Harish RaviPrakash, Naji Khosravan, George .Z. Papadakis, Uygar Teomete, Ulas Bagci. Annual Meeting of the Radiological Society of North America (RSNA) 2018.
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"Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks" Burt, Jeremy R., Neslisah Torosdagli, Naji Khosravan, Harish RaviPrakash, Aliasghar Mortazi, Fiona Tissavirasingham, Sarfaraz Hussein, and Ulas Bagci. The British journal of radiology 91, no. xxxx (2018): 20170545
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"Deep Learning Applications in Radiology: Recent Developments, Challenges and Potential Solutions" Sarfaraz Hussein, Aliasghar Mortazi, Harish RaviPrakash, Jeremy R. Burt, Ulas Bagci. Annual Meeting of the Radiological Society of North America (RSNA) 2017.
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"Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning" Harish RaviPrakash, Milena Korostenskaja, Ki Lee, James Baumgartner, Eduardo Castillo, Ulas Bagci. IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC) 2017.
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"Deep Learning in Radiology: Recent Advances, Challenges and Future Trends" Sarfaraz Hussein, Harish RaviPrakash, Uygar Teomete, Ulas Bagci. Annual Meeting of the Radiological Society of North America (RSNA) 2016.
COURSES
Graduate Courses
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Computer Vision:
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Computer Vision
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Advanced Computer Vision
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3-D Computer Vision
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Computer Vision for Special Effects
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Medical Image Computing
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Algorithms:
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​Algorithm Design and Analysis
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Computational Complexity
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Pattern Recognition
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Signal Processing:
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Introduction to Stochastic Signal Processing​
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Detection and Estimation Theory
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Digital Communication Engineering
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Digital Image and Video Processing and Coding
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Computation Optimization
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Math Analysis I
Teaching Assistant Experience
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Computational Complexity
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Introduction to Human Computer Interaction
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Discrete Structures I (Computer Science)
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Managing IT Integration
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Advanced Computer Architecture
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Engineering Probability
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Computer Architecture, Networks & Operating Systems
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Computer Components and Operations
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Introduction to Discrete Structures (Math)