Amer M. Johri

According to our database, Amer M. Johri authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Artificial intelligence bias in medical system designs: a systematic review.

Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, Suneet K. Gupta, Mrinalini Bhagawati, Sudip Paul, Luca Saba, Neha Suri, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu, Jasjit S. Suri

Multim. Tools Appl., February, 2024

2023

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.

Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu

IEEE Access, 2023

2022

Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound.

Ankush D. Jamthikar, Deep Gupta, Laura E. Mantella, Luca Saba, Amer M. Johri, Jasjit S. Suri

IEEE Trans. Instrum. Meas., 2022

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.

Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios Protogeron, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra

Comput. Biol. Medicine, 2022

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

Siva Skandha Sanagala, Andrew Nicolaides, Suneet K. Gupta, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

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

Amer M. Johri, Krishna V. Singh, Laura E. Mantella, Luca Saba, Aditya Sharma, John R. Laird, Kumar Utkarsh, Inder M. Singh, Suneet K. Gupta, Manudeep S. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study.

Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2022

Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment.

Pankaj Kumar Jain, Neeraj Sharma, Mannudeep K. Kalra, Amer M. Johri, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2022

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.

Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

2021

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

Luca Saba, Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, John R. Laird, Vijay Viswanathan, Miguel J. Sanches, George D. Kitas, Amer M. Johri, Neeraj Sharma, Andrew Nicolaides, Jasjit S. Suri

IEEE Trans. Instrum. Meas., 2021

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.

Mohit Agarwal, Luca Saba, Suneet K. Gupta, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Aditya M. Sharma, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri

Medical Biol. Eng. Comput., 2021

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.

Mainak Biswas, Luca Saba, Tomaz Omerzu, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Aditya Sharma, Vijay Viswanathan, Zoltan Ruzsa, Andrew Nicolaides, Jasjit S. Suri

J. Digit. Imaging, 2021

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

Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu

Comput. Biol. Medicine, 2021

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

Luca Saba, Mohit Agarwal, Anubhav Patrick, Anudeep Puvvula, Suneet K. Gupta, Alessandro Carriero, John R. Laird, George D. Kitas, Amer M. Johri, Antonella Balestrieri, Zeno Falaschi, Alessio Pasche, Vijay Viswanathan, Ayman El-Baz, Iqbal Alam, Abhinav Jain, D. Subbaram Naidu, Ronald Oberleitner, Narendra N. Khanna, Arindam Bit, Mostafa Fatemi, Azra Alizad, Jasjit S. Suri

Int. J. Comput. Assist. Radiol. Surg., 2021

2020

Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort.

Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Raghu Kolluri, Aditya M. Sharma, Vijay Viswanathan, Andrew Nicolaides, Jasjit S. Suri

J. Medical Syst., 2020

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

Jasjit S. Suri, Anudeep Puvvula, Mainak Biswas, Misha Majhail, Luca Saba, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, D. Subbaram Naidu

Comput. Biol. Medicine, 2020

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

Siva Skandha Sanagala, Suneet K. Gupta, Luca Saba, Vijaya Kumar Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Jasjit S. Suri

Comput. Biol. Medicine, 2020

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound.

Ankush D. Jamthikar, Deep Gupta, Luca Saba, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Naveed Sattar, Amer M. Johri, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Vijay Viswanathan, Aditya M. Sharma, George D. Kitas, Andrew Nicolaides, Raghu Kolluri, Jasjit S. Suri

Comput. Biol. Medicine, 2020