Ajay Mittal

Orcid: 0000-0002-3066-1956

According to our database1, Ajay Mittal authored at least 41 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Deep residual learning-based denoiser for medical X-ray images.
Evol. Syst., December, 2024

TinyCheXReport: Compressed deep neural network for Chest X-ray report generation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2024

Self-supervised learning for medical image analysis: a comprehensive review.
Evol. Syst., August, 2024

Lung cancer survival prognosis using a two-stage modeling approach.
Multim. Tools Appl., July, 2024

Federated learning: a comprehensive review of recent advances and applications.
Multim. Tools Appl., May, 2024

LeukoCapsNet: a resource-efficient modified CapsNet model to identify leukemia from blood smear images.
Neural Comput. Appl., February, 2024

Handwriting-based gender classification using machine learning techniques.
Multim. Tools Appl., 2024

2023
Worddeepnet: handwritten gurumukhi word recognition using convolutional neural network.
Multim. Tools Appl., December, 2023

Integrating explainability into deep learning-based models for white blood cells classification.
Comput. Electr. Eng., September, 2023

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images.
Wirel. Pers. Commun., 2023

Bagging: An Ensemble Approach for Recognition of Handwritten Place Names in Gurumukhi Script.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

CheXPrune: sparse chest X-ray report generation model using multi-attention and one-shot global pruning.
J. Ambient Intell. Humaniz. Comput., 2023

Transfer learning for image classification using VGG19: Caltech-101 image data set.
J. Ambient Intell. Humaniz. Comput., 2023

A combination of simple and dilated convolution with attention mechanism in a feature pyramid network to segment leukocytes from blood smear images.
Biomed. Signal Process. Control., 2023

Recent Trends To Detect Melanoma Using Dermoscopic Images: A Survey.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Monitoring and Impact Assessment of Farm Practices in Horticulture Crops with Digital Twins.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2023

Robust Detection of Plant Features with Overhead Imaging in a Range of Crop and Weed Scenarios.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2023

2022
Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review.
ACM Comput. Surv., January, 2022

Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities.
Proceedings of the Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 2022

Methods for automatic generation of radiological reports of chest radiographs: a comprehensive survey.
Multim. Tools Appl., 2022

RadioBERT: A deep learning-based system for medical report generation from chest X-ray images using contextual embeddings.
J. Biomed. Informatics, 2022

CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning.
Comput. Biol. Medicine, 2022

2021
Investigating the Performance of Hyperspectral and Simulated Sentinel-2 Data for Soybean Canopy Nitrogen Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
A Novel Ensemble Method for PTB Classification in CXRs.
Wirel. Pers. Commun., 2020

ResDNN: deep residual learning for natural image denoising.
IET Image Process., 2020

Multi-model Ensemble to Classify Acute Lymphoblastic Leukemia in Blood Smear Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
3D convolutional neural network for object recognition: a review.
Multim. Tools Appl., 2019

Automated TB classification using ensemble of deep architectures.
Multim. Tools Appl., 2019

Deep Convolution Neural Network Based Denoiser for Mammographic Images.
Proceedings of the Advances in Computing and Data Sciences, 2019

2018
LF-SegNet: A Fully Convolutional Encoder-Decoder Network for Segmenting Lung Fields from Chest Radiographs.
Wirel. Pers. Commun., 2018

An Efficient Variant of Fully-Convolutional Network for Segmenting Lung Fields from Chest Radiographs.
Wirel. Pers. Commun., 2018

Understanding Direct Store Delivery: Design, Evaluation & Implications.
Proceedings of the 9th International Conference on HCI, IndiaHCI 2018, Bangalore, 2018

IoT-Based Precision Monitoring of Horticultural Crops - A Case-Study on Cabbage and Capsicum.
Proceedings of the 2018 IEEE Global Humanitarian Technology Conference, 2018

2017
Lung field segmentation in chest radiographs: a historical review, current status, and expectations from deep learning.
IET Image Process., 2017

Deep-learning: A potential method for tuberculosis detection using chest radiography.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

2014
Obstacle detection by means of stereo feature matching.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Application of Complete Local Binary Pattern Method for facial expression recognition.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012

A Statistical Operator for Detecting Weak Edges in Low Contrast Images.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

An Efficient Scheme for Color Edge Detection in Uniform Color Space.
Proceedings of the Autonomous and Intelligent Systems - Third International Conference, 2012

Detection of Edges in Color Images: A Review and Evaluative Comparison of State-of-the-Art Techniques.
Proceedings of the Autonomous and Intelligent Systems - Third International Conference, 2012

1999
Hierarchical Delay Fault Simulation.
Proceedings of the 12th International Conference on VLSI Design (VLSI Design 1999), 1999


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