Shashank Shetty - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 6 from 6

2025

A novel hybrid architecture for video frame prediction: combining convolutional LSTM and 3D CNNC. V. Aravinda, Taher Al-Shehari, Nasser A. Alsadhan, Shashank Shetty, G. Padmajadevi, K. R. Udaya Kumar Reddy. jrtip, 22(1):50, January 2025. [doi]

2024

SMC-CNN: Stacked Multi-Channel Convolution Neural Network for Predicting Acute Brain Infarct From Magnetic Resonance Imaging SequencesShashank Shetty, V. S. Ananthanarayana, Ajit Mahale, Suba Arul Devi. access, 12:171112-171142, 2024. [doi]

2023

Data Augmentation vs. Synthetic Data Generation: An Empirical Evaluation for Enhancing Radiology Image ClassificationShashank Shetty, Ananthanarayana V. S., Ajit Mahale. iciis 2023: 1-6 [doi]

Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reportsShashank Shetty, Ananthanarayana V. S., Ajit Mahale. mta, 82(28):44431-44478, November 2023. [doi]

2020

Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning TechniquesK. Karthik, Gokul S. Krishnan, Shashank Shetty, Sanjay S. Bankapur, Ranjit P. Kolkar, T. S. Ashwin, Manjunath K. Vanahalli. ficta 2021: 443-453 [doi]

Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data ConditionShashank Shetty, V. S. Ananthanarayana, Ajit Mahale. eann 2020: 352-364 [doi]

Sign in or sign up to see more results.

runs on WebDSL