Shashank Shetty, Ananthanarayana V. S., and Ajit Mahale (2023), Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reports, Multimedia Tools and Applications, Springer Publisher, https://doi.org/10.1007/s11042-023-14940-x [Indexed: Q1 Journal, SCIE & Scopus, IF: 2.577].
Shashank Shetty, Ananthanarayana V. S., and Ajit Mahale (2023), Cross-Modal Deep Learning-based Clinical Recommendation System for Radiology Report Generation from Chest X-rays, International Journal of Engineering, https://www.ije.ir/article_172364.html [Indexed: Q2 Journal, ESCI & Scopus, IF: 1.64].
Shashank Shetty, Ananthanarayana V S., and Ajit Mahale. (2023). Diagnostic Performance Evaluation of Deep Learning-Based Medical Text Modelling to Predict the Pulmonary Diseases from the Unstructured Radiology Free-Text Reports. Acta Informatica Pragensia}. Volume 12, Issue 2, https://doi.org/10.18267/j.aip.214. [Indexed: Q2 Journal-Scopus, IF: 1.15].
Shashank Shetty, Ananthanarayana V. S., and Ajit Mahale (2022), Comprehensive Review of Multimodal Medical Data Analysis: Open Issues and Future Research Directions, Acta Informatica Pragensia (AIP), 11(3), 423-457, https://doi.org/10.18267/j.aip.202 [Indexed: Q2 Journal-Scopus, IF: 1.15].
Shashank Shetty, Ananthanarayana V S., and Ajit Mahale (2022), MS-CheXNet: An Explainable and Lightweight Multi-Scale Dilated Network with Depthwise Separable Convolution for Prediction of Pulmonary Abnormalities in Chest Radiographs, Multidisciplinary Digital Publishing Institute (MDPI) Mathematics}, 10, no. 19: 3646. https://doi.org/10.3390/math10193646 [Indexed: Q1 Journal- SCIE & Scopus, IF: 2.592].
Shashank Shetty, V. S. Ananthanarayana, A. Mahale and S. A. Devi (2024), SMC-CNN: Stacked Multi-Channel Convolution Neural Network for Predicting Acute Brain Infarct From Magnetic Resonance Imaging Sequences, in IEEE Access, vol. 12, pp. 171112-171142, 2024, doi: 10.1109/ACCESS.2024.3498316. [Indexed: Q1 Journal- SCIE & Scopus, IF: 4.64].
CV Aravinda, Taher Al-Shehari, Nasser A Alsadhan, Shashank Shetty, G Padmajadevi, KR Reddy (2025), A novel hybrid architecture for video frame prediction: combining convolutional LSTM and 3D CNN. Springer Nature, Journal of Real-Time Image Processing 22, 50 (2025). doi: https://doi.org/10.1007/s11554-025-01626-w [Indexed: Q2 Journal- SCIE & Scopus, IF: 2.1]
Shashank Shetty, Ananthanarayana, V.S., Mahale, A., "Data Augmentation vs. Synthetic Data Generation: An Empirical Evaluation for Enhancing Radiology Image Classification," 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, 2023, pp. 1-6, doi: 10.1109/ICIIS58898.2023.10253599. [Core Ranked - Scopus Indexed Conference - IEEE]
Shashank Shetty, Dhanyashree, D. Dharmendra, S. Bankapur and P. P. B. M, "HydroStack: A Hybrid Meta-Ensemble Machine Learning Framework for Accurate Annual Rainfall Prediction," 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2024, pp. 1926-1934, doi: 10.1109/I-SMAC61858.2024.10714739 [Scopus Indexed - Springer].
Shashank Shetty, Salvi, S. (2021). A Smart Biometric-Based Public Distribution System with Chatbot and Cloud Platform Support. In: Karuppusamy, P., Perikos, I., Shi, F., Nguyen, T.N. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-15-8677-4_10 [Scopus Indexed - Springer].
Karthik, K., Gokul S., Shashank Shetty, Sanjay S., Ranjit P, Ashwin, T. S., Manjunath K. (2021). Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning Techniques. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_43 [Scopus Indexed -Springer].
Shashank Shetty, Ananthanarayana, V.S., Mahale, A. (2020). Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition. In: Iliadis, L., Angelov, P., Jayne, C., Pimenidis, E. (eds) Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. EANN 2020. Proceedings of the International Neural Networks Society, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-48791-1_27 [Core Ranked Conference - Springer]
Shashank Shetty and S. Salvi (2020), "SAF-Sutra: A Prototype of Remote Smart Waste Segregation and Garbage Level Monitoring System", 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, pp. 0363-0367, doi: 10.1109/ICCSP48568.2020.9182408 [Scopus Indexed –IEEE].
S. Salvi and Shashank Shetty, "AI based Solar Powered Railway Track Crack Detection and Notification System with Chatbot Support," 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2019, pp. 565-571, doi: 10.1109/I-SMAC47947.2019.9032670 [Scopus Indexed –IEEE].
K. P. Rao, R. P. Puneeth and Shashank Shetty, "A Novel Third Party Integrity Checker (TPIC) based Data Auditing for Security of the Dynamic Streaming Client Data in a Cloud Infrastructure," 2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), Msyuru, India, 2018, pp. 533-538, doi: 10.1109/ICEECCOT43722.2018.9001384 [Scopus Indexed –IEEE].
Shashank Shetty, A. S. Devadiga, S. S. Chakkaravarthy and K. A. Varun Kumar, "Ote-OCR based text recognition and extraction from video frames," 2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, 2014, pp. 229-232, doi: 10.1109/ISCO.2014.7103949 [Scopus Indexed -Springer].
Shashank Shetty, Devadiga, A.S., Chakkaravarthy, S.S., Varun Kumar, K.A., Kamalanaban, E., Visu, P. (2015). Optical Character Recognition for Alphanumerical Character Verification in Video Frames. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 324. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2126-5_10 [Scopus Indexed -Springer].
Shashank Shetty (2023). An Intelligent and Secure Real-Time Environment Monitoring System for Healthcare Using IoT and Cloud Computing with the Mobile Application Support. In: Tiwari, R., Koundal, D., Upadhyay, S. (eds) Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices. Springer, Cham. https://doi.org/10.1007/978-3-031-22959-6_5 [Springer Book Chapter].
D Karanam, Shashank Shetty, S., Nithin, K.U.G. (2021). Fog Computing Application for Biometric-Based Secure Access to Healthcare Data. In: Tanwar, S. (eds) Fog Computing for Healthcare 4.0 Environments. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-46197-3_15 [Springer Book Chapter].
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