Hierarchical Delay Fault Simulation. - C. P. Ravikumar; Ajay Mittal (VLSI Design, 1999)

Detection of Edges in Color Images: A Review and Evaluative Comparison of State-of-the-Art Techniques. - Ajay Mittal; Sanjeev Sofat; Edwin R. Hancock (AIS, 2012)

An Efficient Scheme for Color Edge Detection in Uniform Color Space. - Ajay Mittal; Sanjeev Sofat; Edwin R. Hancock (AIS, 2012)

A Statistical Operator for Detecting Weak Edges in Low Contrast Images. - Ajay Mittal; Sanjeev Sofat; Edwin R. Hancock; Stéphane Mousset (ICIAR (1), 2012)

Application of Complete Local Binary Pattern Method for facial expression recognition. - Suryakant Singh; Ritesh Maurya; Ajay Mittal (IHCI, 2012)

Obstacle detection by means of stereo feature matching. - Ajay Mittal; Abdelaziz Bensrhair; Edwin R. Hancock (ICIP, 2014)

Deep-learning: A potential method for tuberculosis detection using chest radiography. - Rahul Hooda; Sanjeev Sofat; Simranpreet Kaur; Ajay Mittal; Fabrice Mériaudeau (ICSIPA, 2017)

Lung field segmentation in chest radiographs: a historical review, current status, and expectations from deep learning. - Ajay Mittal; Rahul Hooda; Sanjeev Sofat (IET Image Process., 2017)

IoT-Based Precision Monitoring of Horticultural Crops - A Case-Study on Cabbage and Capsicum. - Ajay Mittal; Sanat Sarangi; Saranya Ramanath; Prakruti V. Bhatt; Rahul Sharma 009; Srinivasu Pappula (GHTC, 2018)

Understanding Direct Store Delivery: Design, Evaluation & Implications. - Ajay Mittal (IndiaHCI, 2018)

An Efficient Variant of Fully-Convolutional Network for Segmenting Lung Fields from Chest Radiographs. - Rahul Hooda; Ajay Mittal; Sanjeev Sofat (Wirel. Pers. Commun., 2018)

LF-SegNet: A Fully Convolutional Encoder-Decoder Network for Segmenting Lung Fields from Chest Radiographs. - Ajay Mittal; Rahul Hooda; Sanjeev Sofat (Wirel. Pers. Commun., 2018)

Deep Convolution Neural Network Based Denoiser for Mammographic Images. - Gurprem Singh; Ajay Mittal; Naveen Aggarwal (ICACDS (1), 2019)

Automated TB classification using ensemble of deep architectures. - Rahul Hooda; Ajay Mittal; Sanjeev Sofat (Multim. Tools Appl., 2019)

3D convolutional neural network for object recognition: a review. - Rahul Dev Singh; Ajay Mittal; Rajesh K. Bhatia (Multim. Tools Appl., 2019)

Multi-model Ensemble to Classify Acute Lymphoblastic Leukemia in Blood Smear Images. - Sabrina Dhalla; Ajay Mittal; Savita Gupta; Harleen Singh (ICPR Workshops (1), 2020)

ResDNN: deep residual learning for natural image denoising. - Gurprem Singh; Ajay Mittal; Naveen Aggarwal (IET Image Process., 2020)

A Novel Ensemble Method for PTB Classification in CXRs. - Rahul Hooda; Ajay Mittal; Sanjeev Sofat (Wirel. Pers. Commun., 2020)

Investigating the Performance of Hyperspectral and Simulated Sentinel-2 Data for Soybean Canopy Nitrogen Estimation. - Jayantrao Mohite; Suryakant A. Sawant; Ankur Pandit; Ajay Mittal; Srinivasu Pappula (IGARSS, 2021)

CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning. - Navdeep Kaur; Ajay Mittal (Comput. Biol. Medicine, 2022)

RadioBERT: A deep learning-based system for medical report generation from chest X-ray images using contextual embeddings. - Navdeep Kaur; Ajay Mittal (J. Biomed. Informatics, 2022)

Methods for automatic generation of radiological reports of chest radiographs: a comprehensive survey. - Navdeep Kaur; Ajay Mittal; Gurprem Singh (Multim. Tools Appl., 2022)

Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities. - Veenu Rani; Munish Kumar 001; Ajay Mittal; Krishan Kumar 001 (Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 2022)

Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review. - Ajay Mittal; Sabrina Dhalla; Savita Gupta; Aastha Gupta (ACM Comput. Surv., 2022)

Robust Detection of Plant Features with Overhead Imaging in a Range of Crop and Weed Scenarios. - Sanket Junagade; Swagatam Bose Choudhury; Ruturaj Patil; Ajay Mittal; Sanat Sarangi; Nandan Rajpoot; Suresh Neelakandan; Dineshkumar Singh; Srinivasu Pappula (GHTC, 2023)

Monitoring and Impact Assessment of Farm Practices in Horticulture Crops with Digital Twins. - Rushikesh Kulat; Ruturaj Patil; Swagatam Bose Choudhury; Ajay Mittal; Sanat Sarangi; Mariappan Sakkan; Hemavathy B; Dineshkumar Singh; Srinivasu Pappula (GHTC, 2023)

Recent Trends To Detect Melanoma Using Dermoscopic Images: A Survey. - Uma Sharma; Preeti Aggarwal; Ajay Mittal (ICCCNT, 2023)

A combination of simple and dilated convolution with attention mechanism in a feature pyramid network to segment leukocytes from blood smear images. - Sabrina Dhalla; Ajay Mittal; Savita Gupta; Jaskiran Kaur; Harshit; Harshdeep Kaur (Biomed. Signal Process. Control., 2023)

Transfer learning for image classification using VGG19: Caltech-101 image data set. - Monika Bansal; Munish Kumar 001; Monika Sachdeva; Ajay Mittal (J. Ambient Intell. Humaniz. Comput., 2023)

CheXPrune: sparse chest X-ray report generation model using multi-attention and one-shot global pruning. - Navdeep Kaur; Ajay Mittal (J. Ambient Intell. Humaniz. Comput., 2023)

Bagging: An Ensemble Approach for Recognition of Handwritten Place Names in Gurumukhi Script. - Harmandeep Kaur; Munish Kumar 001; Aastha Gupta; Monika Sachdeva; Ajay Mittal; Krishan Kumar 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images. - Vipasha Abrol; Sabrina Dhalla; Savita Gupta; Sukhwinder Singh; Ajay Mittal (Wirel. Pers. Commun., 2023)

Integrating explainability into deep learning-based models for white blood cells classification. - Kunal Bhatia; Sabrina Dhalla; Ajay Mittal; Savita Gupta; Aastha Gupta; Alka Jindal (Comput. Electr. Eng., 2023)

Worddeepnet: handwritten gurumukhi word recognition using convolutional neural network. - Harmandeep Kaur; Shally Bansal; Munish Kumar 001; Ajay Mittal; Krishan Kumar 001 (Multim. Tools Appl., 2023)

On Digital Twin for a High Yielding Soybean Variety Towards Optimal Field Recommendations. - Swagatam Bose Choudhury; Rushikesh Kulat; Ruturaj Patil; Abhishek Kumar; Sanat Sarangi; Nandan Rajpoot; Ajay Mittal; Dineshkumar Singh; Srinivasu Pappula (GHTC, 2024)

Handwriting-based gender classification using machine learning techniques. - Shaveta Dargan; Munish Kumar 001; Ajay Mittal; Krishan Kumar 001 (Multim. Tools Appl., 2024)

LeukoCapsNet: a resource-efficient modified CapsNet model to identify leukemia from blood smear images. - Sabrina Dhalla; Ajay Mittal; Savita Gupta (Neural Comput. Appl., 2024)

Federated learning: a comprehensive review of recent advances and applications. - Harmandeep Kaur; Veenu Rani; Munish Kumar 001; Monika Sachdeva; Ajay Mittal; Krishan Kumar 001 (Multim. Tools Appl., 2024)

Lung cancer survival prognosis using a two-stage modeling approach. - Preeti Aggarwal; Namrata Marwah; Ravreet Kaur; Ajay Mittal (Multim. Tools Appl., 2024)

Self-supervised learning for medical image analysis: a comprehensive review. - Veenu Rani; Munish Kumar 001; Aastha Gupta; Monika Sachdeva; Ajay Mittal; Krishan Kumar 001 (Evol. Syst., 2024)

TinyCheXReport: Compressed deep neural network for Chest X-ray report generation. - Fahd Saleh Alotaibi; Khaled Hamed Alyoubi; Ajay Mittal; Vishal Gupta; Navdeep Kaur (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Deep residual learning-based denoiser for medical X-ray images. - Ajay Mittal; Navdeep Kaur; Aastha Gupta; Gurprem Singh (Evol. Syst., 2024)

A systematic review of end-to-end framework for contactless fingerprint recognition: Techniques, challenges, and future directions. - Pooja Kaplesh; Aastha Gupta; Divya Bansal; Sanjeev Sofat; Ajay Mittal (Eng. Appl. Artif. Intell., 2025)

Exploring offline signature verification techniques: a survey based on methods and future directions. - Aman Singla; Ajay Mittal (Multim. Tools Appl., 2025)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT. - Ajay Mittal; Raghav Mehta; Omar Todd; Philipp Seeböck; Georg Langs; Ben Glocker (CoRR, 2025)

Vision transformer for contactless fingerprint classification. - Pooja Kaplesh; Aastha Gupta; Divya Bansal; Sanjeev Sofat; Ajay Mittal (Multim. Tools Appl., 2025)