Binarization based edge detection using universal law of gravity and ant colony optimization. - Om Prakash Verma; Madasu Hanmandlu; Rishabh Sharma (Int. J. Hybrid Intell. Syst., 2012)

Classification of Graphical User Interfaces Through Gaze-Based Features. - Rishabh Sharma; Hubert Cecotti (RTIP2R (1), 2018)

FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications. - Arpit Jadon; Mohd. Omama; Akshay Varshney; Mohammad Samar Ansari; Rishabh Sharma (CoRR, 2019)

Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net. - Rishabh Sharma; Christoph F. Eick; Nikolaos V. Tsekos (BIBE, 2020)

SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection. - Rishabh Sharma; Christoph F. Eick; Nikolaos V. Tsekos (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

SunPy: A Python package for Solar Physics. - Stuart Mumford; Nabil Freij; Steven Christe; Jack Ireland; Florian Mayer; V. Keith Hughitt; Albert J. Shih; Daniel Ryan; Simon Liedtke; David Pérez-Suárez; Pritish Chakraborty; Vishnunarayan K; et al. (J. Open Source Softw., 2020)

Gradient Based Activations for Accurate Bias-Free Learning. - Vinod K. Kurmi; Rishabh Sharma; Yash Vardhan Sharma; Vinay P. Namboodiri (AAAI, 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis. - Rishabh Sharma; Stuart W. Perry; Eva Cheng (Sensors, 2022)

Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. - Robert Griffin; Rishabh Sharma; Andrew G. Webb; Nikolaos V. Tsekos (BIBE, 2023)

From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution. - Mohammad Javadi; Rishabh Sharma; Panagiotis Tsiamyrtzis; Shishir Shah 001; Ernst L. Leiss; Nikolaos V. Tsekos (BIBE, 2023)

Sustainable PRS: A hybrid DL-based parcel recognition approach. - Ankit Bansal; Rishabh Sharma; Vinay Kukreja; Amitoj Singh; Satvik Vats (ICCCNT, 2023)

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. - Nikhil Dhawan; Vinay Kukreja; Rishabh Sharma; Satvik Vats; Aditya Verma (ICCCNT, 2023)

Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. - Shruti Garg; Vinay Kukreja; Rishabh Sharma; Vikrant Sharma; Manisha Aeri (ICCCNT, 2023)

Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. - Varun Jindal; Anuj Kumar Jain; Vinay Kukreja; Raj Gaurang Tiwari; Satvik Vats; Rishabh Sharma (ICCCNT, 2023)

Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images. - Vinay Kukreja; Rishabh Sharma; Dibyahash Bordoloi (ICCCNT, 2023)

Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block. - Vinay Kukreja; Rishabh Sharma; Vikrant Sharma; Aditya Verma (ICCCNT, 2023)

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. - Vinay Kukreja; Rishabh Sharma; Satvik Vats; Manika Manwal (ICCCNT, 2023)

Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. - Manish Mahajan; Rishabh Sharma; Amandeep Singh; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Smart logistics multi-classification system using CNN and LSTM. - Rishabh Sharma; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. - Amandeep Singh; Sweety Sehgal; Manish Mahajan; Vinay Kukreja; Rishabh Sharma; Satvik Vats (ICCCNT, 2023)

Light Field View Synthesis Using the Focal Stack and All-in-Focus Image. - Rishabh Sharma; Stuart W. Perry; Eva Cheng (Sensors, 2023)

Pre-trained InceptionV3 for Efficient Tuberculosis Detection. - Vandana Ahuja; Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Advanced Skin Disease Classification with VGG19, YOLOv3, and MobileNet. - Himani Bhatia; Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Using CNN and Gradient Boosting to Accurately Classify Guar Varieties in India. - Rishabh Sharma; Nishant Bhardwaj (ICCCNT, 2024)

Meta-Learning Framework for Coriander Variety Classification using CNN and DBN. - Rishabh Sharma; Lovish Dhingra (ICCCNT, 2024)

Automated Classification of Indian Watermelon Varieties Using CNN-PCA: A Machine Learning Approach. - Rishabh Sharma; Prateek Garg (ICCCNT, 2024)

Creating a New Way to Classify Squash Varieties in India by Using CNN and LSTM Techniques. - Rishabh Sharma; Shikhar Gupta (ICCCNT, 2024)

Botanical Differentiation: Indian Mint Types with CNN-XGBoost. - Rishabh Sharma; Shikhar Gupta (ICCCNT, 2024)

Botanical Distinction: Classifying Basil Types in India with CNN and Random Forest - An Advanced Study. - Rishabh Sharma; Sahil Khurana (ICCCNT, 2024)

Hierarchical Classification of Indian Ridge Gourd Varieties: CNN-SVM Fusion Approach. - Rishabh Sharma; Abhinav Mishra (ICCCNT, 2024)

Empowering Indian Agriculture: Fenugreek Variety Classification through CNN and Ensemble Learning. - Rishabh Sharma; Jagmeet Sohal (ICCCNT, 2024)

A Combined Deep Learning Approach for Pusa Gourd Classification in India. - Prince Sood; Satvik Vats; Vandana Ahuja; Rishabh Sharma (ICCCNT, 2024)

Alzheimer's Disease Detection Through Spatially Attentive Enhanced Low-Mid-High Level Feature Modelling using Deep CNN. - Santosh Kumar Tripathy; Poonkuntran Shanmugham; Rishabh Sharma; Yash Doshi (ICCCNT, 2024)

Unveiling Diversity: CNN-LSTM Model for Indian Asparagus Types UC 157, Mary Washington and Jersey Giant. - Satvik Vats; Harpreet Kour; Ruchika Aggarwal; Navneet Katoch; Rishabh Sharma (ICCCNT, 2024)

CNN-SVM Fusion: A Robust Method for Emotion Detection in Faces. - Satvik Vats; Harpreet Kour; Ruchika Aggarwal; Navneet Katoch; Rishabh Sharma; R. D. Gomathi (ICCCNT, 2024)

Distinctive Zucchini Classification in India: Leveraging CNN and RNN Models. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Discerning India's Garlic Tapestry: Yamuna Safed, G-41 and G-282 Classification using CNN and SVM. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Deciphering Indian Peppermint Classes: CNN and Decision Trees Fusion. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Cultivar Discrimination: CNN and Genetic Algorithms for Classifying Different Varieties of Ginger Plants. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Indian French Bean Varieties: CNN vs. Decision Trees Model Analysis. - Pooja Verma; Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Image segmentation, classification and recognition methods for comics: A decade systematic literature review. - Rishabh Sharma; Vinay Kukreja (Eng. Appl. Artif. Intell., 2024)

Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. - Vinay Kukreja; Tejinder Pal Singh Brar; Satvik Vats; Ankit Bansal; Rishabh Sharma (SN Comput. Sci., 2024)

Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation. - Victor H. R. Nogueira; Rishabh Sharma; Rafael V. C. Guido; Michael J. Keiser (J. Chem. Inf. Model., 2025)

Artificial blood - hope and the challenges to combat tumor hypoxia for anti-cancer therapy. - Rishabh Sharma; Manju Kashyap; Hatem Zayed; Lucky Krishnia; Manoj Kumar Kashyap (Medical Biol. Eng. Comput., 2025)