S. Gupta

发表

Potato Crop Disease Classification Using Convolutional Neural Network

Amit Sinha, Suneet Kr. Gupta, Diganta Mishra, 2019, Smart Systems and IoT: Innovations in Computing.

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Aditya M. Sharma, David W. Sobel, Gopal S. Tandel, 2021, Computers in Biology and Medicine.

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

Siva Skandha Sanagala, J. Suri, L. Saba, 2021, Comput. Biol. Medicine.

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients

J. Suri, L. Saba, G. Kitas, 2022, Rheumatology International.

NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death

J. Suri, S. Gupta, J. Teji, 2022, Comput. Biol. Medicine.

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Computers in Biology and Medicine.

Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review

Renoh Johnson Chalakkal, David W. Sobel, Paramjit S. Chadha, 2022, Diagnostics.

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

J. Suri, L. Saba, A. El-Baz, 2021, International Journal of Computer Assisted Radiology and Surgery.

Tools Required in Staging and Diagnosis of Lung Tumor

S. Gupta, R. Rani, 2016 .

Human activity recognition in artificial intelligence framework: a narrative review

J. Suri, S. Gupta, Vanita Jain, 2022, Artificial Intelligence Review.

Cyst Detection in Brain using Neural Network

S. Gupta, Sheena Jagga, 2015 .

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization

Laura E. Mantella, J. Suri, L. Saba, 2022, Comput. Biol. Medicine.

VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification

Sanjeev Kumar, S. Gupta, Umesh Gupta, 2022, J. Vis. Commun. Image Represent..

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data

Siva Skandha Sanagala, J. Suri, M. Agarwal, 2022, Neural Computing and Applications.

Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective

D. Naidu, J. Suri, L. Saba, 2021, IEEE Journal of Biomedical and Health Informatics.

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

J. Suri, L. Saba, M. Fatemi, 2023, IEEE Access.

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application

Jasjit S. Suri, Narendra N. Khanna, Andrew Nicolaides, 2021, Medical & Biological Engineering & Computing.

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort

J. Suri, L. Saba, A. El-Baz, 2021, Journal of Medical Systems.

Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

Aditya M. Sharma, J. Suri, L. Saba, 2021, Annals of translational medicine.

Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer

S. Gupta, K. Sau, K. Sankaran, 2022, Computational and mathematical methods in medicine.

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

Vijaya Kumar Koppula, Jasjit S. Suri, Narendra N. Khanna, 2020, Comput. Biol. Medicine.

Development of Efficient CNN model for Tomato crop disease identification

Kanad K. Biswas, Mohit Agarwal, K. K. Biswas, 2020, Sustain. Comput. Informatics Syst..

A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach

Kanad K. Biswas, K. K. Biswas, Suneet Kr. Gupta, 2021, PAKDD.

A Convolution Neural Network based approach to detect the disease in Corn Crop

Mohit Agarwal, Deepak Garg, Suneet Kr. Gupta, 2019, 2019 IEEE 9th International Conference on Advanced Computing (IACC).

Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system

Aditya M. Sharma, Deepak L. Bhatt, J. Suri, 2021, The International Journal of Cardiovascular Imaging.

COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s)

Vijaya Kumar Koppula, Mohit Agarwal, Suneet Kr. Gupta, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

IOT Based Deep Learning framework to Diagnose Breast Cancer over Pathological Clinical Data

S Kumar, S. Degadwala, S. Gupta, 2022, 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM).

Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification

J. Suri, L. Saba, S. Gupta, 2021, Diagnostics.

A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application

Jasjit S. Suri, Andrew Nicolaides, John R. Laird, 2021, IEEE Transactions on Instrumentation and Measurement.

Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images

Rabins Porwal, Suneet Gupta, S. Gupta, 2016, Int. J. Biomed. Imaging.

Convoluted Cosmos: Classifying Galaxy Images Using Deep Learning

Sachi Nandan Mohanty, Mohit Agarwal, Diganta Misra, 2019, Data Management, Analytics and Innovation.

Plant Leaf Disease Segmentation Using Compressed UNet Architecture

Kanad K. Biswas, K. K. Biswas, Suneet Kr. Gupta, 2021, PAKDD.

An Efficient and Optimized Convolution Neural Network for Covid and Lung Disease Detection

M. Agarwal, S. Gupta, Rohit Kr. Kaliyar, 2023, 2023 8th International Conference on Communication and Electronics Systems (ICCES).

Artificial intelligence bias in medical system designs: a systematic review

L. Saba, M. Fatemi, S. Gupta, 2023, Multimedia tools and applications.

FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease identification on Apple's leaf dataset

Rohit Kumar Kaliyar, Gaurav Singal, Mohit Agarwal, 2019, 2019 12th International Conference on Information & Communication Technology and System (ICTS).

Grape Disease Identification Using Convolution Neural Network

K. K. Biswas, Mohit Agarwal, Suneet Kr. Gupta, 2019, 2019 23rd International Computer Science and Engineering Conference (ICSEC).