Ritesh Maurya, Nageshwar Nath Pandey, Mohan Karnati, Geet Sahu,

“Breaking Barriers in Cancer Diagnosis: Super-Light Compact Convolution Transformer for Colon and Lung Cancer Detection” International Journal of Imaging Systems and Technology · August 2024, Wiley Publishers DOI: https://doi.org/10.1002/ima.23154, SCI Indexed Impact Factor – 3.

Area: Deep Learning, Computer Vision..

Maurya, R., Mahapatra, S., Malay Kishore Dutta et al.

Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine.

Scientific Reports, Nature, 14, 17785 (2024). https://doi.org/10.1038/s41598-024-68749-1 , SCI Indexed Impact Factor : 4.3.

Area: Deep Learning and Computer Vision

Rakesh Chandra Joshi, Pallavi Srivastava, Rashmi Mishra, Radim Burget, M. K.Dutta.

“Biomarker Profiling and Integrating Heterogeneous Models for Enhanced Multi-Grade Breast Cancer Prognostication”

Computer Methods an Programs in Biomedicine, Elsevier Publishers, 2024, DOI: doi.org/10.1016/j.cmpb.2024.108349, SCI Indexed Impact Factor : 6.1.

Area: Machine Learning & Medical Informatics

Nageshwar Nath Pandey, Avadh Pati & Ritesh Maurya,

“ DriSm_YNet: a breakthrough in real-time recognition of driver smoking behavior using YOLO-NAS”

Neural Computing and Applications, DOI: doi.org/10.1007/s00521-024-10162-w 2024, SCI indexed Impact Factor : 6.0

Area: Deep Learning & Computer Vision.

H. S. Ganesha, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan,

"Few-shot transfer learning for wearable IMU-based human activity recognition", Neural Computing and Applications, Mar 2024, https://doi.org/10.1007/s00521-024-09645-7 SCI indexed Impact Factor: 6.0.

Area: Transfer Learning and Human Computer Interaction.

Rakesh Chandra Joshi, A.K.Sharma, M.K.Dutta,

“VisionDeep-AI: Deep Learning-based Retinal Blood Vessels Segmentation and Multi-class Classification Framework for Eye Diagnosis”- Biomedical Signal Processing and Control, Elsevier Publishers, Accepted for Publication, SCI indexed Impact Factor - 5.1.

Area: Deep Learning & Computer Vision.

Ritesh Maurya; M.K.Dutta Dutta; Mohan Karnati, Dr Nageshwar Nath Pandey,

“FCCS-Net: Breast Cancer Classification Using Multi-Level Fully Convolutional-Channel and Spatial Attention-based Transfer Learning Approach” Biomedical Signal Processing and Control, Elsevier Publishers, Accepted for Publication, SCI indexed Impact Factor - 5.1.

Area: Deep Learning & Computer Vision.

Rakesh Chandra Joshi, ‪Malay Kishore Dutta, Nitin Singh, Anuj Kumar Sharma and Radim Burget

Rakesh Chandra Joshi, ‪Malay Kishore Dutta, Nitin Singh, Anuj Kumar Sharma and Radim Burget “AI-SenseVision: A Low-cost Artificial Intelligence-based Robust and Real-time Assistance for Visually Impaired People” IEEE Transactions on Human-Machine Systems,

DOI: 10.1109/THMS.2024.3375655, 2024, SCI indexed Impact Factor – 3.6.

Area: Deep Learning, Computer Vision & Edge Devices

Rinki Gupta, R.Singh, Carlos M. Travieso-González, Radim Burget & Malay Kishore Dutta

“DeepRespNet: A Deep Neural Network for Classification of Respiratory Sounds” Biomedical Signal Processing and Control, Elsevier Publishers,

DOI: doi.org/10.1016/j.bspc.2024.106191, 2024, SCI indexed Impact Factor - 5.1.

Area: Deep Learning and Time Series Analysis

Karnika Dwivedi, Malay Kishore Dutta & Jay Prakash Pandey

“EMViT-Net: A novel transformer-based network utilizing CNN and multilayer perceptron for the classification of environmental microorganisms using microscopic images” Ecological Informatics, Elsevier Publishers.

DOI: https://doi.org/10.1016/j.ecoinf.2023.102451 , December 2023, Elsevier Publishers, SCI indexed Impact Factor: 5.1.

Computer Vision and Deep Learning

Vibhav Prakash Singh, Aman Verma, Dushyant Kumar Singh & Ritesh Maurya

Improved content-based brain tumor retrieval for magnetic resonance images using weight initialization framework with densely connected deep neural network”. Neural Computing & Applications (2023), Springer Nature Publishers.

DOI: https://doi.org/10.1007/s00521-023-09149-w , December 2023, Elsevier Publishers, SCI indexed Impact Factor: 6.0.

Deep Learning Based-Medical Imaging

Mohan Karnati, Ayan Seal, Joanna Jaworek-Korjakowska, Ondrej Krejcar

Facial Expression Recognition in-the-wild using Blended Feature Attention Network” IEEE Transactions on Instrumentation and Measurement,

DOI: https://doi.org/10.1109/TIM.2023.3314815, 2023, SCI indexed Impact factor – 5.6.

Deep Learning, Human-Computer Interaction

Mohan Karnati, Geet Sahu, Abhishek Gupta, Ayan Seal, Ondrej Krejcar

A Pyramidal Spatial-based Feature Attention Network for Schizophrenia Detection using Electroencephalography Signals” IEEE Transactions

on Cognitive and Developmental Systems, DOI: https://doi.org/10.1109/TCDS.2023.3314639, , 2023, SCI indexed Impact factor – 5.

Deep Learning, Brain-Computer Interface

Ritesh Maurya, Nageshwar Nath Pandey, Rakesh Chandra Joshi, Malay Kishore Dutta

"MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images"

International Journal of Imaging Systems and Technology, DOI: https://doi.org/10.1002/ima.22954,2023 , Wiley Publisher, SCI indexed Impact Factor-3.3.

Deep Learning Based-Medical Imaging

Chandrasen Pandey, Neeraj Baghel, Rinki Gupta & Malay Kishore Dutta

Nocturnal sleep sounds classification with artificial neural network for sleep monitoring” Multimedia Tools and Applications, DOI : 10.1007/s11042-023-16190-3, 2023, SCI indexed Impact factor – 3.6.

Deep Learning, Time Series

Karnika Dwivedi & Malay Kishore Dutta

Microcell-Net: A deep neural network for multi-class classification of microscopic blood cell images” Expert Systems, Wiley Publishers, DOI: https://doi.org/10.1111/exsy.13295, 2023, SCI indexed Impact factor – 3.3.

Deep Learning, Computer Vision.

Vojtech Myska, Samuel Genzor, Anzhelika Mezina, Radim Burget, Jan Mizera, Michal Stybnar, Martin Kolarik, Milan Sova, Malay Kishore Dutta

Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19”, Diagnostics, DOI: 10.3390/ diagnostics 13101755, 2023, SCI indexed Impact factor – 3.6.

Machine Learning

Geet Sahu, Ayan Seal, Joanna Jaworek-Korjakowska, and Ondrej Krejcar

Single Image Dehazing via Fusion of Multilevel Attention Network for Vision-Based Measurement Applications” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-15, 2023, Art no. 4503415, doi: 10.1109/TIM.2023.3271753, 2023. SCI Indexed Impact Factor – 5.332

Computer Vision/Deep Learning

Geet Sahu, Mohan Karnati, Abhishek Gupta, and Ayan Seal

SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals” Accepted for Publication.
Biomedical Signal Processing and Control, Elsevier Publishers, 2023, SCI indexed Impact Factor - 5.076

Deep Learning and Brain-Computer Interface

Neha Sengar, Rakesh Chandra Joshi, Malay Kishore Dutta & Radim Burget

EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network" Neural Computing and Applications, Springer Verlag Publishers, DOI: doi.org/10.1007/s00521-023-08249-x, January 2023, SCI indexed Impact Factor - 5.102.

Computer Vision/Deep Learning

Ritesh Maurya, Arti Srivastava, Ashutosh Srivastava, Vinay Kumar Pathak, Malay Kishore Dutta

Computer aided detection of mercury heavy metal intoxicated fish: an application of machine vision and artificial intelligence technique” Multimedia Tools and Applications, DOI:10.1007/s11042-023-14358-5, 2023, SCI indexed Impact Factor - 2.577

Computer Vision/Machine Learning

Rinki Gupta, Ananya Shekhar Bhatnagar, Ghanapriya Singh

A Weighted Deep Ensemble for Indian Sign Language Recognition,” IETE Journal of Research, Taylor & Francis, 2023, 10.1080/03772063.2023.2175057, SCI Indexed, Impact Factor 1.730

Deep Learning/Time Series Analysis

Anamika Banwari, Rakesh ChandraJoshi, NamitaSengar, Malay Kishore Dutta

Computer vision technique for freshness estimation from segmented eye of fish image" Ecological Informatics, Elsevier Publishers, DOI:doi.org/10.1016/j.ecoinf.2022.101602, 2022, SCI indexed Impact Factor – 4.498.

Computer Vision

Neha Sengar,Rakesh Chandra Joshi, Malay Kishore Dutta & Radim Burget

"EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network" Neural Computing and Applications, Springer Verlag Publishers, DOI: doi.org/10.1007/s00521-023-08249-x, January 2023, SCI indexed Impact Factor – 5.102.

Computer Vision/Deep Learning.

Ritesh Maurya, Arti Srivastava, Ashutosh Srivastava, Vinay Kumar Pathak, Malay Kishore Dutta

“Computer aided detection of mercury heavy metal intoxicated fish: an application of machine vision and artificial intelligence technique” Multimedia Tools and Applications, DOI:10.1007/s11042-023-14358-5, 2023, SCI indexed Impact Factor – 2.577.

Computer Vision/Machine Learning

Rinki Gupta, Ananya Shekhar Bhatnagar, Ghanapriya Singh

“A Weighted Deep Ensemble for Indian Sign Language Recognition,” IETE Journal of Research, Taylor & Francis, 2023, 10.1080/03772063.2023.2175057, SCI Indexed, Impact Factor 1.730

Deep Learning/Time Series Analysis

Anamika Banwari, Rakesh ChandraJoshi, NamitaSengar, Malay Kishore Dutta

“Computer vision technique for freshness estimation from segmented eye of fish image” Ecological Informatics, Elsevier Publishers, DOI:doi.org/10.1016/j.ecoinf.2022.101602, 2022, SCI indexed Impact Factor – 4.498.

Computer Vision

Monika Arora, Parthasarathi Mangipudi, Malay Kishore Dutta

“A low-cost imaging framework for freshness evaluation from multifocal fish tissues” Journal of Food Engineering, Elsevier Publishers, DOI: //doi.org/ 10.1016/j.jfoodeng.2021.110777, 2022, SCI indexed Impact factor – 6.203.

Computer Vision

Rakesh Chandra Joshi; Rashmi Mishra; Punnet Gandhi; Vinay Kumar Pathak; Radim Burget; Malay Kishore Dutta,

“Ensemble-based Machine Learning Approach for Prediction of Glioma and Multi-grade Classification”, Computers in Biology and Medicine, Elsevier Publishers, Volume 137, 2021, doi.org/10.1016/j.compbiomed.2021.104829, SCI indexed Impact factor – 6.698

Machine Learning – Medical Informatics

Ritesh Maurya; Vinay Kumar Pathak; Radim Burget; Malay Kishore Dutta

“Automated Detection of Bioimages using Novel Deep Feature Fusion Algorithm and An Effective High-Dimensional Feature Selection Approach” Computers in Biology and Medicine, Elsevier Publishers, Volume 137, 2021, https://doi.org/ 10.1016/j.compbiomed.2021.104862, SCI indexed Impact factor – 6.698.

Deep Learning

Rakesh Joshi, Divyanshu Singh, Vaibhav Tiwari, M.K.Dutta

"An Efficient Deep Neural Network based Abnormality Detection and multi-class Breast Tumor Classification” Multimedia Tools & Applications, Springer Nature Publishers, DOI: 10.1007/s11042-021-11240-0, 2021, SCI indexed Impact Factor – 2.577

Deep Learning – Medical Imaging

Neeraj Baghel, Vivek Nangia and M.K.Dutta

"ALSD-Net: Automatic Lung sounds Diagnosis Network from Pulmonary Signals" Neural Computing and Applications, DOI: 10.1007/s00521-021-06302-1, 2021, Springer Nature Publishers, SCI indexed impact factor 5.102.

Deep Learning Based – Bio-Medical Signals/Time Series

Manoj Kaushik, Rakesh Chandra Joshi, Atar Singh Kushwah, Maneesh Kumar Guptab Monish Banerjee Radim Burget Malay Kishore Dutta

“ Cytokine Gene Variants and Socio-Demographic Characteristics as Predictors of Cervical Cancer: A Machine Learning Approach” Computers in Biology & Medicine, DOI: doi.org/10.1016/ j.compbiomed.2021.104559, 2021, Elsevier Publishers, SCI indexed Impact Factor – 6.698

Machine Learning Based – Medical Informatics

Manoj Kaushik, Neeraj Baghel, Radim Burget, Carlos M. Travieso, M.K.Dutta,

“SLINet: Dysphasia Detection in Children using Deep Neural Network” Biomedical Signal Processing and Control, Elsevier Publisher, DOI : doi.org/10.1016/j.bspc.2021.102798, Volume 68, July 2021, 102798. SCI indexed Impact Factor – 5.076.

Deep Learning Based – Bio-Medical Signals/Time Series

Anushikha Singh, Hardik Gupta, Arti Srivastava, Ashutosh Srivastava, Rakesh Chandra Joshi & Malay Kishore Dutta

“A Novel Pilot Study on Imaging based Identification of Fish Exposed to Heavy Metal (Hg) Contamination” Journal: Journal of Food Processing and Preservation, Wiley Publishers, Article DOI: 10.1111/jfpp.15571, 2021, SCI Indexed Impact Factor: 2.609

Machine Learning

Ritesh Maurya, Suman Singh, Vinay Kumar Pathak & Malay Kishore Dutta,

“Computer-Aided Automatic Detection of Acrylamide in Deep-Fried Carbohydrate-Rich Food Items using Deep Learning”, Machine Vision and Applications, Springer Nature Publishers, 32, 79 (2021), doi.org/10.1007/s00138-021-01204-7, 2021, SCI Indexed Impact Factor: 2.983

Deep Learning

Monika Arora, M.Parthasarathi & Malay Kishore Dutta

“Deep learning neural networks for acrylamide identification in potato chips using transfer learning approach” Journal of Ambient Intelligence and Humanized Computing, Springer Nature Publishers, DOI: 10.1007/s12652-020-02867-2, 2021 SCI indexed, Impact Factor – 3.662.

Deep Learning /Transfer Learning

Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta

“Dense Convolutional Neural Networks based Multiclass Plant Disease Detection and Classification using Leaf Images”, Ecological Informatics, Volume 63, July 2021, 101289, DOI : doi.org/10.1016/j.ecoinf.2021.101289, Elsevier Publishers, SCI indexed Impact Factor – 4.498.

Deep Learning

Ritesh Maurya, Vinay K Pathak & Malay Kishore Dutta

"Computer-Aided Diagnosis of Auto-Immune Disease Using Capsule Neural Network", Multimedia Tools and Applications, Springer Nature Publishers, DOI: 10.1007/s11042-021-10534-7, 2021, SCI indexed Impact Factor - 2.577.

Deep Learning / Capsule Neural Networks

Neeraj Baghel, Malay Kishore Dutta & Radim Burget

, “Automatic Diagnosis of Multiple Cardiac Diseases from PCG Signals using Convolutional Neural Network”, Computer Methods and Programs in Biomedicine, Volume 197, doi.org/10.1016/j.cmpb.2020.105750, Elsevier Publishers, 2020, SCI indexed, Impact Factor – 7.027.

Deep Learning & 1-D Biomedical Signal Time Series

Chandrasen Pandey, Neeraj Baghel, Malay Kishore Dutta, Ashish Srivastava & Nandlal Chaudary

“Machine Learning Approach for Automatic Diagnosis of Chlorosis in Vigna Mungo Leaves", Multimedia Tools and Applications, Multimedia Tools and Applications, Springer Nature Publishers, DOI:10.1007/s11042-020-10309-6, 2020, SCI indexed Impact Factor - 2.577.

Machine Learning

Rakesh Chandra Joshi, ¬¬¬Manoj Kaushik, Malay Kishore Dutta, Ashish Srivastava & Nandlal Choudhary,

“VirLeafNet: Automatic Analysis and Viral Disease Diagnosis Using Deep-Learning in Vigna Mungo Plant” Ecological Informatics, doi.org/10.1016/j.ecoinf.2020.101197, 2020, Elsevier Publishers, SCI indexed Impact Factor – 4.498.

Deep Learning

Anushikha Singh, Neha Singh, Tanu Jindal, Alfredo Rosado & Malay Kishore Dutta

“A Novel Pilot Study of Automatic Identification of EMF Radiation Effect on Brain using Computer Vision and Machine Learning” Biomedical Signal Processing and Control, DOI: 10.1016/j.bspc.2019.101821, Volume 57, 101821, 2020, Elsevier Publishers, SCI indexed Impact Factor – 5.076.

Machine Learning

Ashish Issac, Malay Kishore Dutta & Carlos M Travieso

“Automatic Computer Vision based Detection and Quantitative Analysis of Indicative Parameters for Grading of Diabetic Retinopathy” – Neural Computing and Applications, Springer Nature Publisher, DOI: 10.1007/s00521-018-3443-z, 32(20), pp.15687-15697, October-2020, SCI indexed Impact Factor – 5.102.

Computer Vision

José Luis Vásquez, Antonio G. Ravelo-García, Jesús B. Alonso, Malay Kishore Dutta, Carlos M. Travieso

“Writer identification approach by holistic graphometric features using offline handwriting words” -Neural Computing and Applications, Springer Verilog Publisher – DOI: 10.1007/s00521-018-3461-x., 2020, 32(20), pp. 15733-15746, October, 2020, SCI Indexed Impact Factor-5.102.

Computer Vision

Ritesh Maurya, Neha Singh, Tanu Jindal, Vinay K Pathak, Malay Kishore Dutta

“Machine Learning based Identification of Radiofrequency Electromagnetic Radiation (RF-EMR) effect on Brain Morphology: A Preliminary Study”, Medical and Biological Engineering & Computing, Springer Nature Publishers- DOI: 10.1007/s11517-020-02198-6, 58(8), pp. 1751-1765, 2020, SCI indexed Impact Factor – 3.097.

Machine Learning

Ritesh Maurya, Neha Singh, Tanu Jindal, Vinay K Pathak, Malay Kishore Dutta

“Computer-Aided Automatic Transfer Learning based Approach for Analysing the Effect of High-Frequency EMF Radiation on Brain" Multimedia Tools and Applications, Springer Nature Publishers, DOI: 10.1007/s11042-020-10204-0, 2020, SCI indexed Impact Factor - 2.577.

Deep Learning / Transfer Learning

Rakesh Chandra Joshi, Saumya Yadav, Malay Kishore Dutta, Carlos M. Travieso-Gonzalez,

“An Efficient Multi-Object Detection and Smart Navigation using Artificial Intelligence for Visually Impaired People” Entropy, Volume 22 Issue 9, 2020, SCI indexed Impact Factor – 2.738, DOI :10.3390/e22090941.

Deep Learning / Transfer Learning

Anjali Yadav, Anushikha Singh, Malay Kishore Dutta & Carlos M. Travieso

“Machine Learning Based Classification of Cardiac Diseases from PCG recorded Heart Sounds” Neural Computing and Applications, Springer Verlag Publishers, DOI - 10.1007/s00521-019-04547-5, December 2020, SCI indexed Impact Factor – 5.102.

Deep Learning & 1-D Biomedical Signal Time Series

Ashish Issac, Arti Srivastava, Ashutosh Srivastava & Malay Kishore Dutta

“An automated computer vision based preliminary study for the identification of a heavy metal (Hg) exposed fish - Channa punctatus” Computers in Biology and Medicine, DOI: 10.1016/j.compbiomed.2019.103326, 2019, Elsevier Publishers, SCI indexed Impact Factor – 6.698.

Computer Vision

Shubham Mittal, Ashish Issac & Malay Kishore Dutta

“Non-destructive image processing based system for assessment of rice quality and defects for classification according to inferred commercial value”, Measurement, Journal of the International Measurement Confederation, Volume 148, December 2019, doi.org/10.1016/j.measurement.2019.106969, Elsevier Publishers, SCI indexed Impact Factor – 3.927

Computer Vision

M.Soorya, Ashish Issac and Malay Kishore Dutta

“Automated Framework for Screening of Glaucoma through Cloud Computing” Journal of Medical Systems, Springer Verilog Publisher – 2019, DOI: 10.1007/ s10916-019-1260-2, SCI indexed Impact Factor – 4.920.

Cloud Computing based Computer Vision

Martin Kolařík, Radim Burget, Václav Uher, Kamil Říha, Malay Kishore Dutta

“Optimized High Resolution 3D Dense–U–Net Network for Brain and Spine Segmentation” Applied Sciences, MDPI Publishers, Appl. Sci. 2019, 9, 404; DOI:10.3390/app9030404, SCI indexed Impact Factor- 2.838

Deep Learning

Soorya M, Ashish Issac, Malay Kishore Dutta,

“An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection”– International Journal of Medical Informatics, Elsevier Publishers, Volume 110, 2018, Pages 52–70, SCI indexed Impact Factor – 4.730

Computer Vision

Azeddine Mjahad, Alfredo Rosado-Muñoz, Juan F. Guerrero-Martinez, Manuel Bataller-Mompean, Jose V. Frances-Villora, Malay Kishore Dutta,

“Detection of Ventricular Fibrillation Using the Image from Time-Frequency Representation and Combined Classifiers”, Applied Sciences, S.I: Deep Learning and Big Data in Healthcare" MDPI Publishers, 8, 2057; doi:10.3390/app8112057, 2018, SCI indexed Impact Factor- 2.679

Deep Learning and Big Data in Healthcare

Namita Sengar, Malay Kishore Dutta and Carlos M. Travieso

“Computer Vision Based Technique for Identification and Quantification of Powdery Mildew Disease in Cherry Leaves” Computing, Springer Verilog Publsiher, https://doi.org/10.1007/s00607-018-0638-1, 2018, pp- 1-3, SCI Indexed Impact Factor– 2.420

Machine Learning

Anjali Yadav, Namita Sengar, Ashish Issac, Malay Kishore Dutta

“Image Processing based Acrylamide detection from Fried Potato Chip Images using Continuous Wavelet Transform” - Computers and Electronics in Agriculture, Elsevier Publishers – Volume 145, February 2018, Pages 349–362. SCI Indexed Impact Factor – 6.757

Machine Learning

Malay Kishore Dutta, M. ParthaSarathi, Shaumik Ganguly, Shaunak Ganguly and Kshitij Srivastava,

“An Efficient Image Processing Based Technique for Comprehensive Detection and Grading of Non Proliferative Diabetic Retinopathy from Fundus Images” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis Publishers, Volume 5, Issue 3- 2017 - Pages 195-207, SCI Indexed Impact Factor – 1.669.

Computer Vision

Anushikha Singh, Malay Kishore Dutta, Rachid Jennane & Eric Lespessailles

“ Classification of the Trabecular bone structure of osteoporotic patients using machine vision” Computers in Biology and Medicine, Elsevier Publishers, Volume 91, 1 December 2017, Pages 148-158, SCI Indexed Impact Factor –6.698.

Machine Learning

Namita Sengar & Malay Kishore Dutta,

“Automated method for Hierarchal Detection and Grading of Diabetic Retinopathy” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis Publishers, Published online: 07 Jun 2017, http://dx.doi.org/ 10.1080/21681163.2017.1335236, SCI Indexed Impact Factor – 1.669.

Machine Learning

Namita Sengar, Malay Kishore Dutta, Biplab Sarkar

“Computer Vision Based Technique for Identification of Fish Quality after Pesticide Exposure” International Journal of Food Properties, Taylor and Francis Publishers, Volume 20, 2017 - Issue sup2 - Pages 2192-2206, SCI Indexed Impact Factor – 3.388.

Machine Learning

Ashish Issac, Malay Kishore Dutta & Biplab Sarkar

“Computer Vision Based Method for Quality and Freshness check for Fish from Segmented Gills, Computers and Electronics in Agriculture, Elsevier Publishers, Volume – 139, 2017, Pages 10-21, SCI Indexed Impact Factor – 6.757.

Machine Learning & Computer Vision

Malay Kishore Dutta, Anushikha Singh & Sabari Ghosal

“An Imaging Technique for Acrylamide Identification in Potato Chips in Wavelet Domain” LWT- Food Science and Technology, Elsevier Publishers, 2016, vol. 65, pp. 987-998, DOI: 10.1016/j.lwt.2015.09.035. SCI Indexed Impact Factor – 6.056.

Machine Learning & Computer Vision

Malay Kishore Dutta, Namita Sengar, Narayan Kamble, Kaushik Banerjee, Navroj Minhas, Biplab Sarkar,

“Image Processing Based Technique for Classification of Fish Quality after Cypermetherine Exposure”, LWT Food Science and Technology, Elsevier Publishers, vol. 68, pp. 408-417, 2016. SCI Indexed Impact Factor – 6.056.

Machine Learning

Malay Kishore Dutta, Ashish Issac, Navroj Minhas & Biplab Sarkar,

“An Image processing based method to assess fish quality and freshness” Journal of Food Engineering, Elsevier Publishers- 2016, vol. 177, pp. 50-58, DOI:10.1016/j.jfoodeng.2015.12.018. SCI Indexed Impact Factor –6.203.

Computer Vision

Anushikha Singh, Malay Kishore Dutta, M. ParthaSarathi, Vaclav Uher & Radim Burget

“Image Processing Based Automatic Diagnosis of Glaucoma using Wavelet Features of Segmented Optic Disc from Fundus Image” Computer Methods and Programs in Biomedicine, Elsevier Publishers, February 2016Volume 124, Pages 108–120, DOI: 10.1016/j.cmpb.2015.10.010. Volume 124, February 2016, Pages 108–120, SCI Indexed Impact Factor –7.027.

Machine Learning

Malay Kishore Dutta, Namita Sengar, Navroj Minhas, Biplab Sarkar, Arnab Goon, Kaushik Banerjee

“Image processing-based classification of grapes after pesticide exposure” LWT – Food Science and Technology, Elsevier Publishers. Volume 72, 1 October 2016, Pages 368-376, DOI: 10.1016/j.lwt.2016.05.002. SCI Indexed Impact Factor –6.056.

Machine Learning

M. ParthaSarathi, Malay Kishore Dutta, Anushikha Singh and Carlos Travieso,

“Blood Vessel Inpainting based Technique for Efficient Localization and Segmentation of Optic Disc in Digital Fundus Images”, Biomedical Signal Processing and Control, Volume 25, March 2016, Pages 108-117, Elsevier Publishers, DOI: 10.1016/j.bspc.2015.10.012. SCI Indexed Impact Factor -5.076

Computer Vision

Malay Kishore Dutta, Anushikha Singh & Sabari Ghosal

“An Efficient Computer Vision based technique for identification of Acrylamide in Potato Chips” Computers and Electronics in Agriculture, Elsevier Publishers, 2015, Volume -119, pp. 40-50, DOI: 10.1016/j.compag.2015.10.007, SCI Indexed Impact Factor –6.757.

Machine Learning

Ashish Issac, M. ParthaSarathi & Malay Kishore Dutta,

“An Adaptive Threshold Based Image Processing Technique for Improved Glaucoma Detection & Classification” Computer Methods and Programs in Biomedicine, Elsevier Publishers, Nov. 2015, 122(2):229-44. DOI: 10.1016/j.cmpb.2015.08.002. SCI Indexed Impact Factor ––7.027

Computer Vision