AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction. - Ansh Mittal; Deepika Kumar (EAI Endorsed Trans. Pervasive Health Technol., 2019)

Guess Who? - A Serious Game for Cybersecurity Professionals. - Sameer Gupta; M. P. Gupta 001; Manmohan Chaturvedi; M. S. Vilkhu; Srishti Kulshrestha; Devottam Gaurav; Ansh Mittal (GALA, 2020)

Data augmentation based morphological classification of galaxies using deep convolutional neural network. - Ansh Mittal; Anu Soorya; Preeti Nagrath; D. Jude Hemanth (Earth Sci. Informatics, 2020)

Detecting Pneumonia using Convolutions and Dynamic Capsule Routing for Chest X-ray Images. - Ansh Mittal; Deepika Kumar; Mamta Mittal; Tanzila Saba; Ibrahim Abunadi; Amjad Rehman; Sudipta Roy 002 (Sensors, 2020)

Cybersecurity Enhancement through Blockchain Training (CEBT) - A serious game approach. - Ansh Mittal; M. P. Gupta 001; Manmohan Chaturvedi; Shailesh R. Chansarkar; Sameer Gupta (Int. J. Inf. Manag. Data Insights, 2021)

SAVCHOI: Detecting Suspicious Activities using Dense Video Captioning with Human Object Interactions. - Ansh Mittal; Shuvam Ghosal; Rishibha Bansal; Dat Ngyuyen (CoRR, 2022)

Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. - Neel Bhate; Ansh Mittal; Zhe He 001; Xiao Luo 002 (IEEE Big Data, 2023)

On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment. - Ansh Mittal; Aditya Malte (CoRR, 2023)

Neural Radiance Fields: Past, Present, and Future. - Ansh Mittal (CoRR, 2023)

Estimating Time to Clear Pendency of Cases in High Courts in India using Linear Regression. - Kshitiz Verma; Anshu Musaddi; Ansh Mittal; Anshul Jain (CoRR, 2023)

FuNet-40: fundus disease/abnormality classification using ensemble of fine-tuned pretrained convolution models. - Ansh Mittal; Anusurya; Shilpa Gupta; Varun Srivastava; Arun Balodi; Manoj Tolani (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)