Hrithwik Shalu
Orcid: 0000-0002-8944-434X
According to our database1,
Hrithwik Shalu
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies.
CoRR, 2024
2023
Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.
J. Digit. Imaging, April, 2023
2022
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes.
J. Digit. Imaging, 2022
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices.
CoRR, 2022
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection.
CoRR, 2022
CoRR, 2022
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution.
CoRR, 2022
Reinforcement learning using Deep Q networks and Q learning accurately localizes brain tumors on MRI with very small training sets.
BMC Medical Imaging, 2022
2021
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification.
CoRR, 2021
Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model.
CoRR, 2021
CoRR, 2021
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images.
CoRR, 2021
EMRs with Blockchain: A Distributed Democratised Electronic Medical Record Sharing Platform.
Proceedings of the Blockchain - ICBC 2021, 2021
2020
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets.
CoRR, 2020
EMRs with Blockchain : A distributed democratised Electronic Medical Record sharing platform.
CoRR, 2020
CoRR, 2020
A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques.
CoRR, 2020
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media.
CoRR, 2020
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays.
CoRR, 2020
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images.
CoRR, 2020