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ORCIDAjay Mittal
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2020 – today
- 2024
[j25]Veenu Rani, Munish Kumar, Aastha Gupta, Monika Sachdeva, Ajay Mittal, Krishan Kumar:
Self-supervised learning for medical image analysis: a comprehensive review. Evol. Syst. 15(4): 1607-1633 (2024)- [j24]Ajay Mittal, Navdeep Kaur, Aastha Gupta, Gurprem Singh:
Deep residual learning-based denoiser for medical X-ray images. Evol. Syst. 15(6): 2339-2353 (2024) - [j23]Shaveta Dargan, Munish Kumar, Ajay Mittal, Krishan Kumar:
Handwriting-based gender classification using machine learning techniques. Multim. Tools Appl. 83(7): 19871-19895 (2024) - [j22]Harmandeep Kaur, Veenu Rani, Munish Kumar
, Monika Sachdeva, Ajay Mittal, Krishan Kumar:
Federated learning: a comprehensive review of recent advances and applications. Multim. Tools Appl. 83(18): 54165-54188 (2024) - [j21]Preeti Aggarwal, Namrata Marwah, Ravreet Kaur, Ajay Mittal:
Lung cancer survival prognosis using a two-stage modeling approach. Multim. Tools Appl. 83(22): 61407-61434 (2024) - [j20]Sabrina Dhalla, Ajay Mittal, Savita Gupta:
LeukoCapsNet: a resource-efficient modified CapsNet model to identify leukemia from blood smear images. Neural Comput. Appl. 36(5): 2507-2524 (2024) - [j19]Fahd Saleh Alotaibi, Khaled Hamed Alyoubi, Ajay Mittal, Vishal Gupta, Navdeep Kaur:
TinyCheXReport: Compressed deep neural network for Chest X-ray report generation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(9): 135:1-135:17 (2024) - 2023
- [j18]Sabrina Dhalla, Ajay Mittal, Savita Gupta, Jaskiran Kaur, Harshit, Harshdeep Kaur:
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. 80(Part): 104344 (2023) - [j17]Kunal Bhatia, Sabrina Dhalla, Ajay Mittal, Savita Gupta, Aastha Gupta, Alka Jindal:
Integrating explainability into deep learning-based models for white blood cells classification. Comput. Electr. Eng. 110: 108913 (2023) - [j16]Monika Bansal, Munish Kumar, Monika Sachdeva, Ajay Mittal:
Transfer learning for image classification using VGG19: Caltech-101 image data set. J. Ambient Intell. Humaniz. Comput. 14(4): 3609-3620 (2023) - [j15]Navdeep Kaur, Ajay Mittal:
CheXPrune: sparse chest X-ray report generation model using multi-attention and one-shot global pruning. J. Ambient Intell. Humaniz. Comput. 14(6): 7485-7497 (2023) - [j14]Harmandeep Kaur, Shally Bansal, Munish Kumar, Ajay Mittal, Krishan Kumar:
Worddeepnet: handwritten gurumukhi word recognition using convolutional neural network. Multim. Tools Appl. 82(30): 46763-46788 (2023) - [j13]Harmandeep Kaur, Munish Kumar, Aastha Gupta, Monika Sachdeva, Ajay Mittal, Krishan Kumar:
Bagging: An Ensemble Approach for Recognition of Handwritten Place Names in Gurumukhi Script. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(7): 198:1-198:25 (2023) - [j12]Vipasha Abrol, Sabrina Dhalla, Savita Gupta, Sukhwinder Singh, Ajay Mittal:
An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images. Wirel. Pers. Commun. 131(1): 197-215 (2023) - [c15]Sanket Junagade, Swagatam Bose Choudhury, Ruturaj Patil, Ajay Mittal, Sanat Sarangi, Nandan Rajpoot, Suresh Neelakandan, Dineshkumar Singh, Srinivasu Pappula:
Robust Detection of Plant Features with Overhead Imaging in a Range of Crop and Weed Scenarios. GHTC 2023: 318-321 - [c14]Rushikesh Kulat, Ruturaj Patil, Swagatam Bose Choudhury, Ajay Mittal, Sanat Sarangi, Mariappan Sakkan, Hemavathy B, Dineshkumar Singh, Srinivasu Pappula:
Monitoring and Impact Assessment of Farm Practices in Horticulture Crops with Digital Twins. GHTC 2023: 456-459 - [c13]Uma Sharma, Preeti Aggarwal, Ajay Mittal:
Recent Trends To Detect Melanoma Using Dermoscopic Images: A Survey. ICCCNT 2023: 1-6 - 2022
- [j11]Navdeep Kaur, Ajay Mittal:
CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning. Comput. Biol. Medicine 145: 105498 (2022) - [j10]Ajay Mittal, Sabrina Dhalla, Savita Gupta, Aastha Gupta:
Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review. ACM Comput. Surv. 54(11s): 234:1-234:37 (2022) - [j9]Navdeep Kaur, Ajay Mittal:
RadioBERT: A deep learning-based system for medical report generation from chest X-ray images using contextual embeddings. J. Biomed. Informatics 135: 104220 (2022) - [j8]Navdeep Kaur, Ajay Mittal, Gurprem Singh:
Methods for automatic generation of radiological reports of chest radiographs: a comprehensive survey. Multim. Tools Appl. 81(10): 13409-13439 (2022) - [p1]Veenu Rani, Munish Kumar, Ajay Mittal, Krishan Kumar:
Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities. Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities 2022: 73-88 - 2021
- [c12]Jayantrao Mohite, Suryakant A. Sawant, Ankur Pandit, Ajay Mittal, Srinivasu Pappula:
Investigating the Performance of Hyperspectral and Simulated Sentinel-2 Data for Soybean Canopy Nitrogen Estimation. IGARSS 2021: 7059-7062 - 2020
- [j7]Gurprem Singh, Ajay Mittal, Naveen Aggarwal:
ResDNN: deep residual learning for natural image denoising. IET Image Process. 14(11): 2425-2434 (2020) - [j6]Rahul Hooda, Ajay Mittal, Sanjeev Sofat:
A Novel Ensemble Method for PTB Classification in CXRs. Wirel. Pers. Commun. 112(2): 809-826 (2020) - [c11]Sabrina Dhalla, Ajay Mittal, Savita Gupta, Harleen Singh:
Multi-model Ensemble to Classify Acute Lymphoblastic Leukemia in Blood Smear Images. ICPR Workshops (1) 2020: 243-253
2010 – 2019
- 2019
- [j5]Rahul Dev Singh, Ajay Mittal, Rajesh K. Bhatia:
3D convolutional neural network for object recognition: a review. Multim. Tools Appl. 78(12): 15951-15995 (2019) - [j4]Rahul Hooda, Ajay Mittal, Sanjeev Sofat:
Automated TB classification using ensemble of deep architectures. Multim. Tools Appl. 78(22): 31515-31532 (2019) - [c10]Gurprem Singh, Ajay Mittal, Naveen Aggarwal:
Deep Convolution Neural Network Based Denoiser for Mammographic Images. ICACDS (1) 2019: 177-187 - 2018
- [j3]Ajay Mittal, Rahul Hooda, Sanjeev Sofat:
LF-SegNet: A Fully Convolutional Encoder-Decoder Network for Segmenting Lung Fields from Chest Radiographs. Wirel. Pers. Commun. 101(1): 511-529 (2018) - [j2]Rahul Hooda, Ajay Mittal, Sanjeev Sofat:
An Efficient Variant of Fully-Convolutional Network for Segmenting Lung Fields from Chest Radiographs. Wirel. Pers. Commun. 101(3): 1559-1579 (2018) - [c9]Ajay Mittal, Sanat Sarangi, Saranya Ramanath, Prakruti V. Bhatt, Rahul Sharma, Srinivasu Pappula:
IoT-Based Precision Monitoring of Horticultural Crops - A Case-Study on Cabbage and Capsicum. GHTC 2018: 1-7 - [c8]Ajay Mittal:
Understanding Direct Store Delivery: Design, Evaluation & Implications. IndiaHCI 2018: 102-111 - 2017
- [j1]Ajay Mittal, Rahul Hooda, Sanjeev Sofat:
Lung field segmentation in chest radiographs: a historical review, current status, and expectations from deep learning. IET Image Process. 11(11): 937-952 (2017) - [c7]Rahul Hooda, Sanjeev Sofat, Simranpreet Kaur, Ajay Mittal, Fabrice Mériaudeau:
Deep-learning: A potential method for tuberculosis detection using chest radiography. ICSIPA 2017: 497-502 - 2014
- [c6]Ajay Mittal, Abdelaziz Bensrhair, Edwin R. Hancock:
Obstacle detection by means of stereo feature matching. ICIP 2014: 1618-1622 - 2012
- [c5]Ajay Mittal, Sanjeev Sofat, Edwin R. Hancock:
Detection of Edges in Color Images: A Review and Evaluative Comparison of State-of-the-Art Techniques. AIS 2012: 250-259 - [c4]Ajay Mittal, Sanjeev Sofat, Edwin R. Hancock:
An Efficient Scheme for Color Edge Detection in Uniform Color Space. AIS 2012: 260-267 - [c3]Ajay Mittal, Sanjeev Sofat, Edwin R. Hancock, Stéphane Mousset:
A Statistical Operator for Detecting Weak Edges in Low Contrast Images. ICIAR (1) 2012: 89-96 - [c2]Suryakant Singh, Ritesh Maurya, Ajay Mittal:
Application of Complete Local Binary Pattern Method for facial expression recognition. IHCI 2012: 1-4
1990 – 1999
- 1999
- [c1]C. P. Ravikumar, Ajay Mittal:
Hierarchical Delay Fault Simulation. VLSI Design 1999: 635-
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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