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Jasjit S. Suri

1996–2026 年に発表

別表記
Jasjit S Suri
383
論文数
25,958
被引用数
84
h 指数
317
i10 指数

被引用数

Jasjit S. Suri の年別被引用数1972 年: 被引用 1 件1976 年: 被引用 1 件1994 年: 被引用 1 件1995 年: 被引用 1 件1996 年: 被引用 2 件1997 年: 被引用 2 件1998 年: 被引用 3 件1999 年: 被引用 3 件2000 年: 被引用 2 件2001 年: 被引用 22 件2002 年: 被引用 88 件2003 年: 被引用 12 件2004 年: 被引用 32 件2005 年: 被引用 44 件2006 年: 被引用 53 件2007 年: 被引用 62 件2008 年: 被引用 79 件2009 年: 被引用 111 件2010 年: 被引用 105 件2011 年: 被引用 156 件2012 年: 被引用 237 件2013 年: 被引用 303 件2014 年: 被引用 327 件2015 年: 被引用 423 件2016 年: 被引用 549 件2017 年: 被引用 583 件2018 年: 被引用 649 件2019 年: 被引用 893 件2020 年: 被引用 1,428 件2021 年: 被引用 1,789 件2022 年: 被引用 2,203 件2023 年: 被引用 1,492 件2024 年: 被引用 1,714 件2025 年: 被引用 1,046 件2026 年: 被引用 175 件1973〜1975 年は被引用が無いため表示していません1977〜1993 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 1,708 件、この内訳の 12.8%中国: 引用元論文 1,556 件、この内訳の 11.7%インド: 引用元論文 1,480 件、この内訳の 11.1%イタリア: 引用元論文 778 件、この内訳の 5.8%イギリス: 引用元論文 652 件、この内訳の 4.9%カナダ: 引用元論文 403 件、この内訳の 3%オーストラリア: 引用元論文 377 件、この内訳の 2.8%シンガポール: 引用元論文 336 件、この内訳の 2.5%マレーシア: 引用元論文 288 件、この内訳の 2.2%ドイツ: 引用元論文 286 件、この内訳の 2.2%スペイン: 引用元論文 284 件、この内訳の 2.1%韓国: 引用元論文 284 件、この内訳の 2.1%
0%12.8%その他 36.8%

機関

分野

  • Medicine43.6%
  • Computer Science19.8%
  • Neuroscience18.5%
  • Engineering5.8%
  • Health Professions4.6%
  • Biochemistry, Genetics and Molecular Biology2.4%
  • その他5.3%

トピック

  • EEG and Brain-Computer Interfaces6.2%
  • Heart Rate Variability and Autonomic Control3.8%
  • Medical Image Segmentation Techniques3.5%
  • ECG Monitoring and Analysis3.3%
  • AI in cancer detection3.1%
  • Radiomics and Machine Learning in Medical Imaging2.6%
  • その他77.5%

共著者

全論文

検索で開く
  1. Heart rate variability: a review

    著者: U. Rajendra Acharya, Paul K. Joseph, N. Kannathal, Choo Min Lim, Jasjit S. Suri - Medical & Biological Engineering & Computing, Medical Biol. Eng. Comput. 2006 被引用: 2,803

  2. Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

    著者: Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, José Fernandes e Fernandes, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltán Ruzsa, Aditya Sharma, Raghu Kolluri, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Luca Saba, Vikas Agarwal, Aman Sharma, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, Lopamudra Mohanty, David Sobel, Martin Miner, Klaudija Višković, George Tsoulfas, Athanase D. Protogerou, George D. Kitas, Mostafa M. Fouda, Seemant Chaturvedi, Mannudeep K. Kalra, Jasjit S. Suri - Healthcare 2022 被引用: 324

  3. Human activity recognition in artificial intelligence framework: a narrative review

    著者: Neha Gupta, Suneet K. Gupta, Rajesh K. Pathak, Vanita Jain, Parisa Rashidi, Jasjit S. Suri - Artificial Intelligence Review, Artif. Intell. Rev. 2022 被引用: 318

  4. Automated EEG analysis of epilepsy: A review

    著者: U. Rajendra Acharya, Subbhuraam Vinitha Sree, G. Swapna, Roshan Joy Martis, Jasjit S. Suri - Knowledge-Based Systems, Knowl. Based Syst. 2013 被引用: 829

  5. A Review on a Deep Learning Perspective in Brain Cancer Classification

    著者: Gopal S. Tandel, Mainak Biswas, O. G. Kakde, Ashish Tiwari, Harman S. Suri, Monica Turk, John R. Laird, Christopher Kwaku Asare, Annabel A. Ankrah, Narendra N. Khanna, B. Kiran Madhusudhan, Luca Saba, Jasjit S. Suri - Cancers 2019 被引用: 460

  6. Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

    著者: Gopal S. Tandel, Antonella Balestrieri, Tanay Jujaray, Narender N. Khanna, Luca Saba, Jasjit S. Suri - Computers in Biology and Medicine, Comput. Biol. Medicine 2020 被引用: 250

  7. An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review

    著者: Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena - Computers in Biology and Medicine, Comput. Biol. Medicine 2022 被引用: 132

  8. Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data

    著者: Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, Neha Gupta, Luca Saba, Jasjit S. Suri - Diagnostics 2023 被引用: 87

  9. The present and future of deep learning in radiology

    著者: Luca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, Elisa Cuadrado‐Godia, Harman S. Suri, Damodar Reddy Edla, Tomaž Omerzu, John R. Laird, Narendra N. Khanna, Sophie Mavrogeni, Athanasios Protogerou, Petros P. Sfikakis, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Ajay Gupta, Jasjit S. Suri - European Journal of Radiology 2019 被引用: 345

  10. Carotid Plaque-RADS

    著者: Luca Saba, Riccardo Cau, Alessandro Murgia, Andrew Nicolaides, Max Wintermark, Maurício Castillo, Daniel Staub, Stavros K. Kakkos, Qi Yang, Kosmas I. Paraskevas, Chun Yuan, Myriam Edjlali, Roberto Sanfilippo, Jeroen Hendrikse, Elias Johansson, Mahmud Mossa‐Basha, Niranjan Balu, Martin Dichgans, David Saloner, Daniël Bos, Hans Rolf Jäger, Ross Naylor, Gavino Faa, Jasjit S. Suri, Justin Costello, Dorothee P. Auer, J. Scott McNally, Leo H. Bonati, Valentina Nardi, Aad van der Lugt, Maura Griffin, Bruce A. Wasserman, M. Eline Kooi, Jonathan H. Gillard, Giuseppe Lanzino, Dimitri P. Mikhailidis, Daniel M. Mandell, John C. Benson, Dianne H.K. van Dam-Nolen, Anna Kopczak, Jae W. Song, Ajay Gupta, J. Kevin DeMarco, Seemant Chaturvedi, Renu Virmani, Thomas S. Hatsukami, Martin M. Brown, Alan R. Moody, Peter Libby, Andreas Schindler, Tobias Saam - JACC. Cardiovascular imaging 2023 被引用: 185

  11. Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

    著者: Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Luca Saba, Neeraj Sharma, Jasjit S. Suri - Computers in Biology and Medicine, Comput. Biol. Medicine 2021 被引用: 185

  12. Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

    著者: Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri, Md. Menhazul Abedin, Ayman El-Baz, Jasjit S. Suri - Journal of Medical Systems, J. Medical Syst. 2018 被引用: 271

  13. Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

    著者: Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam, Harman S. Suri, Ayman S. El-Baz, Jasjit S. Suri - Computer Methods and Programs in Biomedicine, Comput. Methods Programs Biomed. 2017 被引用: 269

  14. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

    著者: Manasvi Singh, Ashish Kumar, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Gavino Faa, Amer M. Johri, Laura E. Mantella, José Fernandes e Fernandes, Jagjit S. Teji, Narpinder Singh, Mostafa M. Fouda, Rajesh Singh, Aditya Sharma, George D. Kitas, Vijay Rathore, Inderpal Singh, Kalyan Tadepalli, Mustafa Al-Maini, Esma R. Isenovic, Seemant Chaturvedi, Deepak Garg, Kosmas I. Paraskevas, Dimitri P. Mikhailidis, Vijay Viswanathan, Manudeep K. Kalra, Zoltán Ruzsa, Luca Saba, Andrew F. Laine, Deepak L. Bhatt, Jasjit S. Suri - EClinicalMedicine 2024 被引用: 141

  15. Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound

    著者: Pankaj Kumar Jain, Neeraj Sharma, Argiris A. Giannopoulos, Luca Saba, Andrew Nicolaides, Jasjit S. Suri - Computers in Biology and Medicine, Comput. Biol. Medicine 2021 被引用: 125

  16. Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans

    著者: Nillmani, Neeraj Sharma, Luca Saba, Narendra N. Khanna, Mannudeep K. Kalra, Mostafa M. Fouda, Jasjit S. Suri - Diagnostics 2022 被引用: 95

  17. Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine

    著者: Sanjay Saxena, Biswajit Jena, Neha Gupta, Suchismita Das, Deepaneeta Sarmah, Pallab Bhattacharya, Tanmay Nath, Sudip Paul, Mostafa M. Fouda, Manudeep Kalra, Luca Saba, Gyan Pareek, Jasjit S. Suri - Cancers 2022 被引用: 121

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

    著者: 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 - Computers in Biology and Medicine, Comput. Biol. Medicine 2022 被引用: 82

  19. 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

    著者: 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 2022 被引用: 85

  20. Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies

    著者: Elisa Cuadrado‐Godia, Pratistha Dwivedi, Sanjiv Sharma, Ángel Ois, Jaume Roquer González, Mercedes Balcells, John R. Laird, Monika Turk, Harman S. Suri, Andrew Nicolaides, Luca Saba, Narendra N. Khanna, Jasjit S. Suri - Journal of Stroke 2018 被引用: 290

  21. Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review

    著者: Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri - Artificial Intelligence Review, Artif. Intell. Rev. 2024 被引用: 71

  22. COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

    著者: Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanase D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, F. Nagy, Zoltán Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Višković, Mannudeep K. Kalra - Diagnostics 2022 被引用: 58

  23. Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review

    著者: Sudip Paul, Mahesh Maindarkar, Sanjay Saxena, Luca Saba, Monika Turk, Manudeep Kalra, Padukode R. Krishnan, Jasjit S. Suri - Diagnostics 2022 被引用: 72

  24. State-of-the-art review on deep learning in medical imaging

    著者: Jasjit S Suri - Frontiers in bioscience 2018 被引用: 190