K. Sridhar Patnaik

Birla Institute of Technology, Mesra — India

Computer Science · Physical Sciences

11h-index628citations59works7.02yr avg
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Research Topics

Software Engineering Research(17), Software Reliability and Analysis Research(16), Software Testing and Debugging Techniques(10), COVID-19 diagnosis using AI(8), AI in cancer detection(7)

Publications59 total

MammXAI: An XAI integrated adaptive multi-model deep learning approach for breast cancer detection using multi-modality images
Biomedical Signal Processing and Control·2025· 1 cited
Optimizing software defect prediction performance via call graph embedding and feature selection
Cluster Computing·2025Open Access
Patho-AI: A Perceptive Breast Cancer Identification and Classification Using Deep Learning Methods Integrated with Explainable AI
SN Computer Science·2025· 8 cited
Network Embedding Techniques for Predicting Software Defects: A Review
International Journal of Scientific Research and Management (IJSRM)·2025Open Access
Nested deep learning with learned network embeddings for software defect prediction
Applied Soft Computing·2025· 3 citedOpen Access
Novel Hybrid Deep Learning-Based ERCNet Framework for Enhanced Breast Cancer Identification Using Multi-Modal Imaging Techniques
Lecture notes in networks and systems·2025· 1 cited
Thoracic-net: Explainable artificial intelligence (XAI) based few shots learning feature fusion technique for multi-classifying thoracic diseases using medical imaging
Multimedia Tools and Applications·2024· 15 cited
Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review
Array·2024· 30 citedOpen Access
Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight
Multimedia Tools and Applications·2024· 5 cited
UPSCALE: Unconstrained Channel Pruning
arXiv (Cornell University)·2023Open Access
AutoFocusFormer: Image Segmentation off the Grid
2023· 11 cited
AutoFocusFormer: Image Segmentation off the Grid
arXiv (Cornell University)·2023· 2 citedOpen Access
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review
Multimedia Tools and Applications·2023· 25 citedOpen Access
Graph and Capsule Convolutional Neural Network Based Classification of Lung Cancer, Pneumonia, COVID-19 using Lung CT and Ultrasound Radiography Imaging
2022 8th International Conference on Signal Processing and Communication (ICSC)·2022· 9 cited
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates
Biomedical Signal Processing and Control·2022· 91 citedOpen Access
COVID-19 and Associated Lung Disease Classification Using Deep Learning
Lecture notes in networks and systems·2022· 11 cited
ECG-CCNet: Cardiovascular(Cardiac) and COVID‑19 Disease Classification Using Deep Convolutional Neural Network Learning Pipeline Approaches From Electrocardiography(ECG)- A Study
2022· 10 cited
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review
Neural Processing Letters·2022· 97 citedOpen Access
IoT Deployable Lightweight Deep Learning Application For COVID-19 Detection With Lung Diseases Using RaspberryPi
2022· 48 cited
Probe Design: Probing the Untold Story
Journal of dental research and reviews·2021· 1 citedOpen Access
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Frequent Co-authors

Yogesh H. Bhosale(8), Pooja Jha(8), Sweta Mehta(4), Saket Kumar Singh(4), Rajendrani Mukherjee(3), Alvin Wan(3), Zhile Ren(3), Shamama Anwar(3), Ziwen Chen(2), Shuangfei Zhai(2), Alex Schwing(2), Alex Colburn(2), Fuxin Li(2), James F. Peters(2), Aditya Vardhan Reddy Katkuri(1), Hakka Madan(1), Narendra Khatri(1), Antar Shaddad H. Abdul-Qawy(1), Durgesh Srivastava(1), Lekha Bhambhu(1)