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ORCIDHrithwik Shalu
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2020 – today
- 2024
[i20]Bala McRae-Posani
, Andrei I. Holodny, Hrithwik Shalu, Joseph N. Stember:
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies. CoRR abs/2404.08853 (2024)- [i19]Subhadarsi Nayak, Hrithwik Shalu, Joseph N. Stember:
Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach. CoRR abs/2404.10010 (2024) - 2023
- [j3]Joseph N. Stember, Robert J. Young, Hrithwik Shalu:
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution. J. Digit. Imaging 36(2): 536-546 (2023) - 2022
- [j2]Joseph N. Stember, Hrithwik Shalu:
Reinforcement learning using Deep Q networks and Q learning accurately localizes brain tumors on MRI with very small training sets. BMC Medical Imaging 22(1): 224 (2022) - [j1]Joseph N. Stember, Hrithwik Shalu:
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes. J. Digit. Imaging 35(5): 1143-1152 (2022) - [i18]Joseph N. Stember, Robert Young, Hrithwik Shalu:
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution. CoRR abs/2203.12853 (2022) - [i17]Joseph N. Stember, Danielle M. Stember, Luca Pasquini, Mehrnaz Jenabi, Andrei I. Holodny, Hrithwik Shalu:
Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder. CoRR abs/2206.11224 (2022) - [i16]Subhanik Purkayastha, Hrithwik Shalu, David Gutman, Shakeel Modak, Ellen Basu, Brian Kushner, Kim Kramer, Sofia Haque, Joseph N. Stember:
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection. CoRR abs/2211.14499 (2022) - [i15]Joseph N. Stember, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Andrei I. Holodny, Hrithwik Shalu:
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices. CoRR abs/2211.14500 (2022) - 2021
- [c1]Parthit Patel, Saptarshi Majumder, Sanket Shevkar, Hrithwik Shalu:
EMRs with Blockchain: A Distributed Democratised Electronic Medical Record Sharing Platform. ICBC 2021: 16-26 - [i14]Joseph N. Stember, Hrithwik Shalu:
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images. CoRR abs/2102.02895 (2021) - [i13]Joseph N. Stember, Parvathy Jayan, Hrithwik Shalu:
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics. CoRR abs/2102.08471 (2021) - [i12]Joseph N. Stember, Hrithwik Shalu:
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes. CoRR abs/2106.09812 (2021) - [i11]Souridas Alaka, Rishikesh Sreekumar, Hrithwik Shalu:
Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model. CoRR abs/2108.07139 (2021) - [i10]Joseph N. Stember, Hrithwik Shalu:
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification. CoRR abs/2112.12990 (2021) - 2020
- [i9]Joseph N. Stember, Hrithwik Shalu:
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images. CoRR abs/2008.02708 (2020) - [i8]Hrithwik Shalu, Harikrishnan P, Akash Das, Megdut Mandal, Harshavardhan M. Sali, Juned Kadiwala:
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays. CoRR abs/2008.08912 (2020) - [i7]Joseph N. Stember, Hrithwik Shalu:
Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets. CoRR abs/2010.10763 (2020) - [i6]Sudhir Kumar Suman, Hrithwik Shalu, Lakshya A. Agrawal, Archit Agrawal, Juned Kadiwala:
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media. CoRR abs/2011.14280 (2020) - [i5]Sarah, S. Sidhartha Narayan, Irfaan Arif, Hrithwik Shalu, Juned Kadiwala:
A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques. CoRR abs/2011.14370 (2020) - [i4]Hrithwik Shalu, Harikrishnan P, Hari Sankar CN, Akash Das, Saptarshi Majumder, Arnhav Datar, Subin Mathew MS, Anugyan Das, Juned Kadiwala:
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model. CoRR abs/2011.14966 (2020) - [i3]Amish Mittal, Sourav Sahoo, Arnhav Datar, Juned Kadiwala, Hrithwik Shalu, Jimson Mathew:
Multi-Modal Detection of Alzheimer's Disease from Speech and Text. CoRR abs/2012.00096 (2020) - [i2]Sanket Shevkar, Parthit Patel, Saptarshi Majumder, Harshita Singh, Kshitijaa Jaglan, Hrithwik Shalu:
EMRs with Blockchain : A distributed democratised Electronic Medical Record sharing platform. CoRR abs/2012.05141 (2020) - [i1]Joseph N. Stember, Hrithwik Shalu:
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets. CoRR abs/2012.13321 (2020)
Coauthor Index
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