AEC: A Practical Scheme for Authentication with Error Correction. - Abhrajit Sengupta; Dhiman Saha; Shamit Ghosh; Deval Mehta; Dipanwita Roy Chowdhury (SPACE, 2014)

RACE: Randomized Counter Mode of Authenticated Encryption using Cellular Automata. - Tapadyoti Banerjee; Bijoy Das; Deval Mehta; Dipanwita Roy Chowdhury (ICETE (2), 2019)

A Family of Subfield Hyperelliptic Curves for Use in Cryptography. - Anindya Ganguly; Abhijit Das 004; Dipanwita Roy Chowdhury; Deval Mehta (ICICS, 2020)

#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19. - Xin Pei; Deval Mehta (CoRR, 2020)

Multi level key exchange and encryption protocol for internet of things (IoT). - C. T. Poomagal; G. A. Sathish Kumar; Deval Mehta (Comput. Syst. Sci. Eng., 2020)

Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19. - Xin Pei; Deval Mehta (IEEE BigData, 2021)

Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images. - Deval Mehta; Yaniv Gal; Adrian Bowling; C. Paul Bonnington; Zongyuan Ge (MICCAI (1), 2022)

Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. - Litao Yang; Deval Mehta; Dwarikanath Mahapatra; Zongyuan Ge (MOVI@MICCAI, 2022)

Multi-dimensional Racism Classification during COVID-19: Stigmatization, Offensiveness, Blame, and Exclusion. - Xin Pei; Deval Mehta (CoRR, 2022)

Multidimensional racism classification during COVID-19: stigmatization, offensiveness, blame, and exclusion. - Xin Pei; Deval Mehta (Soc. Netw. Anal. Min., 2022)

Privacy-Preserving Early Detection of Epileptic Seizures in Videos. - Deval Mehta; Shobi Sivathamboo; Hugh Simpson; Patrick Kwan; Terence J. O'Brien; Zongyuan Ge (MICCAI (5), 2023)

Deep Survival Analysis in Multiple Sclerosis. - Xin Zhang; Deval Mehta; Chao Zhu; Daniel Merlo; Yanan Hu; Melissa Gresle; David Darby; Anneke van der Walt; Helmut Butzkueven; Zongyuan Ge (PRIME@MICCAI, 2023)

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. - Litao Yang; Deval Mehta; Sidong Liu; Dwarikanath Mahapatra; Antonio Di Ieva; Zongyuan Ge (MIDL, 2023)

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. - Litao Yang; Deval Mehta; Sidong Liu; Dwarikanath Mahapatra; Antonio Di Ieva; Zongyuan Ge (CoRR, 2023)

Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis. - Deval Mehta; Brigid Betz-Stablein; Toàn D. Nguyên; Yaniv Gal; Adrian Bowling; Martin Haskett; Maithili Sashindranath; C. Paul Bonnington; Victoria Mar; H. Peter Soyer; Zongyuan Ge (CoRR, 2023)

Revisiting the ECM-KEEM protocol with Vedic multiplier for enhanced speed on FPGA platforms. - C. T. Poomagal; G. A. Sathish Kumar; Deval Mehta (J. Ambient Intell. Humaniz. Comput., 2023)

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. - Raja Kumar; Raghav Singhal; Pranamya Prashant Kulkarni; Deval Mehta; Kshitij S. Jadhav (CoRR, 2024)

One Shot GANs for Long Tail Problem in Skin Lesion Dataset using novel content space assessment metric. - Kunal Deo; Deval Mehta; Kshitij S. Jadhav (CoRR, 2024)

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation - An Enhanced Prototype-Guided Diffusion Framework. - Anurag Shandilya; Swapnil Bhat; Akshat Gautam; Subhash Yadav; Siddharth Bhatt; Deval Mehta; Kshitij S. Jadhav (CoRR, 2024)

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models. - Yiwen Jiang; Deval Mehta; Wei Feng 015; Zongyuan Ge (ACL (1), 2025)

Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models. - Deval Mehta; Yiwen Jiang; Catherine L. Jan; Mingguang He; Kshitij S. Jadhav; Zongyuan Ge (IPMI (2), 2025)

M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. - Raja Kumar; Raghav Singhal; Pranamya Prashant Kulkarni; Deval Mehta; Kshitij Sharad Jadhav (Trans. Mach. Learn. Res., 2025)

Adaptive transformer modelling of density function for nonparametric survival analysis. - Xin Zhang; Deval Mehta; Yanan Hu; Chao Zhu; David Darby; Zhen Yu; Daniel Merlo; Melissa Gresle; Anneke van der Walt; Helmut Butzkueven; Zongyuan Ge (Mach. Learn., 2025)