Meta-Classifier Approach with ANN, SVM, Rotation Forest, and Random Forest for Snow Cover Mapping. - Rahul Nijhawan; Balasubramanian Raman; Josodhir Das (CVIP (2), 2017)

A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features. - Rahul Nijhawan; Himanshu Sharma; Harshita Sahni; Ashita Batra (SITIS, 2017)

An Integrated Deep Learning Framework Approach for Nail Disease Identification. - Rahul Nijhawan; Rose Verma; Ayushi; Shashank Bhushan; Rajat Dua; Ankush Mittal (SITIS, 2017)

A Deep Learning Framework Approach for Urban Area Classification Using Remote Sensing Data. - Rahul Nijhawan; Radhika Jindal; Himanshu Sharma; Balasubramanian Raman; Josodhir Das (CVIP (1), 2018)

Glacier Terminus Position Monitoring and Modelling Using Remote Sensing Data. - Rahul Nijhawan; Kanupriya Jain (ICACDS (2), 2018)

Classification of Lesions in Retinal Fundus Images for Diabetic Retinopathy Using Transfer Learning. - Siddharth Gupta; Avnish Panwar; Silky Goel; Ankush Mittal; Rahul Nijhawan; Amit Kumar Singh (ICIT, 2019)

Hybrid Computational Intelligence Technique: Eczema Detection. - Yash Kumar Arora; Amish Tandon; Rahul Nijhawan (TENCON, 2019)

Identification of Diabetic Foot Ulcer in Images using Machine Learning. - Shalok Mohanty; Silky Goel; Rahul Nijhawan; Siddharth Gupta (OCIT, 2021)

Classification and Detection of Acne on the Skin using Deep Learning Algorithms. - Nikhil Pancholi; Silky Goel; Rahul Nijhawan; Siddharth Gupta (OCIT, 2021)

A Vision-based Solution for Track Misalignment Detection. - Koteswar Rao Jerripothula; Sharik Ali Ansari; Rahul Nijhawan (SIBGRAPI, 2021)

Automated Deep Learning Based Approach for Albinism Detection. - Rahul Nijhawan; Manya Juneja; Namneet Kaur; Ashima Yadav; Ishan Budhiraja (RTIP2R, 2022)

An Edge Filter Based Approach of Neural Style Transfer to the Image Stylization. - Shubham Bagwari; Kanika Choudhary; Suresh Chandra Raikwar; Rahul Nijhawan; Sunil Kumar; Mohd Asif Shah (IEEE Access, 2022)

An automated unsupervised deep learning-based approach for diabetic retinopathy detection. - Huma Naz; Rahul Nijhawan; Neelu Jyothi Ahuja (Medical Biol. Eng. Comput., 2022)

Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition. - Huma Naz; Rahul Nijhawan; Neelu Jyothi Ahuja; Shaha T. Al-Otaibi; Tanzila Saba; Saeed Ali Bahaj; Amjad Rehman (IEEE Access, 2023)

VTnet+Handcrafted based approach for food cuisines classification. - Rahul Nijhawan; Garima Sinha; Ashita Batra; Manoj Kumar 009; Himanshu Sharma (Multim. Tools Appl., 2024)

Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study. - Huma Naz; Neelu Jyothi Ahuja; Rahul Nijhawan (Artif. Intell. Rev., 2024)

EDCCN: A benchmark encoder-decoder framework for accurate crowd counting. - Ankit Tomar; Rahul Nijhawan; Deepika Koundal (Neurocomputing, 2025)