litlas
ログインアカウント作成

Greg Zaharchuk

1999–2026 年に発表

160
論文数
21,260
被引用数
66
h 指数
136
i10 指数

被引用数

Greg Zaharchuk の年別被引用数1905 年: 被引用 1 件1974 年: 被引用 1 件1996 年: 被引用 1 件1997 年: 被引用 1 件1999 年: 被引用 4 件2000 年: 被引用 6 件2001 年: 被引用 21 件2002 年: 被引用 18 件2003 年: 被引用 19 件2004 年: 被引用 26 件2005 年: 被引用 26 件2006 年: 被引用 23 件2007 年: 被引用 27 件2008 年: 被引用 21 件2009 年: 被引用 25 件2010 年: 被引用 25 件2011 年: 被引用 29 件2012 年: 被引用 46 件2013 年: 被引用 58 件2014 年: 被引用 84 件2015 年: 被引用 116 件2016 年: 被引用 112 件2017 年: 被引用 136 件2018 年: 被引用 233 件2019 年: 被引用 962 件2020 年: 被引用 1,103 件2021 年: 被引用 1,137 件2022 年: 被引用 952 件2023 年: 被引用 741 件2024 年: 被引用 1,108 件2025 年: 被引用 622 件2026 年: 被引用 81 件1906〜1973 年は被引用が無いため表示していません1975〜1995 年は被引用が無いため表示していません1998 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 2,862 件、この内訳の 26.5%中国: 引用元論文 1,138 件、この内訳の 10.5%ドイツ: 引用元論文 710 件、この内訳の 6.6%イギリス: 引用元論文 705 件、この内訳の 6.5%カナダ: 引用元論文 535 件、この内訳の 4.9%オランダ: 引用元論文 417 件、この内訳の 3.9%フランス: 引用元論文 408 件、この内訳の 3.8%イタリア: 引用元論文 360 件、この内訳の 3.3%オーストラリア: 引用元論文 341 件、この内訳の 3.2%スイス: 引用元論文 329 件、この内訳の 3%韓国: 引用元論文 289 件、この内訳の 2.7%スペイン: 引用元論文 246 件、この内訳の 2.3%
0%26.5%その他 22.8%

機関

分野

  • Medicine75.5%
  • Neuroscience11.3%
  • Computer Science5.3%
  • Engineering3.2%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Materials Science0.7%
  • その他2.5%

トピック

  • Acute Ischemic Stroke Management10.6%
  • Advanced MRI Techniques and Applications8.7%
  • Cerebrovascular and Carotid Artery Diseases5.3%
  • Radiomics and Machine Learning in Medical Imaging4%
  • Functional Brain Connectivity Studies3.8%
  • Medical Imaging Techniques and Applications3.6%
  • その他64%

共著者

全論文

検索で開く
  1. Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging

    著者: Gregory W. Albers, Michael P. Marks, Stephanie Kemp, Sören Christensen, Jenny P. Tsai, Santiago Ortega‐Gutiérrez, Ryan McTaggart, Michel Torbey, May Kim‐Tenser, Thabele M Leslie‐Mazwi, Amrou Sarraj, Scott E. Kasner, Sameer A. Ansari, Sharon D. Yeatts, Scott Hamilton, Michael Mlynash, Jeremy J. Heit, Greg Zaharchuk, Sun H. Kim, Janice Carrozzella, Yuko Y. Palesch, Andrew M. Demchuk, Roland Bammer, Philip W. Lavori, Joseph P. Broderick, Maarten G. Lansberg - New England Journal of Medicine 2018 被引用: 4,824

  2. Recommended implementation of arterial spin‐labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia

    著者: David C. Alsop, John A. Detre, Xavier Golay, Matthias Günther, Jeroen Hendrikse, Luis Hernández-García, Hanzhang Lu, Bradley J. MacIntosh, Laura M. Parkes, Marion Smits, Matthias J.P. van Osch, Danny J.J. Wang, Eric C. Wong, Greg Zaharchuk - Magnetic Resonance in Medicine 2014 被引用: 2,211

  3. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

    著者: Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park, Charles E. Kahn, for the CLAIM 2024 Update Panel, Sunhy Abbara, Saif Afat, Udunna Anazodo, Anna Andreychenko, Folkert W. Asselbergs, Aldo Badano, Bettina Baeßler, Bayarbaatar Bold, Sotirios Bisdas, Torkel B. Brismar, Giovanni Cacciamani, John A. Carrino, Julius Chapiro, Michael F. Chiang, Tessa S. Cook, Renato Cuocolo, John Damilakis, Roxana Daneshjou, Carlo N. De Cecco, Hesham Elhalawani, Guillermo Elizondo‐Riojas, Andrey Fedorov, Benjamin Fine, Adam E. Flanders, Judy Wawira Gichoya, Maryellen L. Giger, Safwan S. Halabi, Sven Haller, William Hsu, Krishna Juluru, Jayashree Kalpathy–Cramer, Apostolos H. Karantanas, Felipe Kitamura, Burak Koçak, Dow‐Mu Koh, Elmar Kotter, Elizabeth A. Krupinski, Curtis P. Langlotz, Cecilia S. Lee, Mario Maas, Anant Madabhushi, Lena Maier-Hein, Kostas Marias, Luis Martí‐Bonmatí, Jaishree Naidoo, Emanuele Neri, Robert Ochs, Nikolaos Papanikolaou, Thomas V. Papathomas, Katja Pinker, Daniel Santos, Fred Prior, Alexandros Protonotarios, Mauricio Reyes, Veronica Rotemberg, Jeffrey D. Rudie, Emmanuel Salinas-Miranda, Francesco Sardanelli, Mark E. Schweitzer, Luca Maria Sconfienza, Ronnie Sebro, Prateek Sharma, An Tang, Antonios Tzortzakakis, Jeroen van der Laak, Peter M. A. van Ooijen, Vasantha Kumar Venugopal, Jacob J. Visser, Bradford J. Wood, Carol C. Wu, Greg Zaharchuk, Marc Zins - Radiology Artificial Intelligence 2024 被引用: 348

  4. Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

    著者: Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 被引用: 572

  5. Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know

    著者: Han Lv, Zhenchang Wang, Elizabeth Tong, Leanne M. Williams, Greg Zaharchuk, Michael Zeineh, Andrea Goldstein‐Piekarski, Tali M. Ball, Chengde Liao, Max Wintermark - American Journal of Neuroradiology 2018 被引用: 569

  6. Deep learning enables reduced gadolinium dose for contrast‐enhanced brain MRI

    著者: Enhao Gong, John M. Pauly, Max Wintermark, Greg Zaharchuk - Journal of Magnetic Resonance Imaging 2018 被引用: 348

  7. Arterial Spin Labeling Perfusion of the Brain: Emerging Clinical Applications

    著者: Sven Haller, Greg Zaharchuk, David L. Thomas, Karl‐Olof Lövblad, Frederik Barkhof, Xavier Golay - Radiology 2016 被引用: 508

  8. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI

    著者: Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Daniel J. Rubin, Greg Zaharchuk - Journal of Magnetic Resonance Imaging 2019 被引用: 255

  9. Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging

    著者: Yannan Yu, Yuan Xie, Thoralf Thamm, Enhao Gong, Jiahong Ouyang, Charles Huang, Sören Christensen, Michael P. Marks, Maarten G. Lansberg, Gregory W. Albers, Greg Zaharchuk - JAMA Network Open 2020 被引用: 170

  10. Amyloid-Related Imaging Abnormalities: An Update

    著者: Michelle Roytman, Faizullah Mashriqi, Khaled Al-Tawil, Paul E. Schulz, Greg Zaharchuk, Tammie L.S. Benzinger, Ana M. Franceschi - American Journal of Roentgenology 2022 被引用: 95

  11. Clinical Assessment of Deep Learning–based Super-Resolution for 3D Volumetric Brain MRI

    著者: Jeffrey D. Rudie, Tyler Gleason, Matthew J. Barkovich, David M. Wilson, Ajit Shankaranarayanan, Tao Zhang, Long Wang, Enhao Gong, Greg Zaharchuk, Javier Villanueva-Meyer - Radiology Artificial Intelligence 2022 被引用: 89

  12. Quantitative susceptibility mapping using deep neural network: QSMnet

    著者: Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgiç, Jin‐Gu Lee, Jin‐Gu Lee, Woojin Jung, Jingyu Ko, Hosan Jung, Kawin Setsompop, Greg Zaharchuk, Eung Yeop Kim, John M. Pauly, Jongho Lee, Jongho Lee - NeuroImage 2018 被引用: 197

  13. Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging

    著者: Thomas Lindner, Divya S. Bolar, Eric Achten, Frederik Barkhof, António J. Bastos‐Leite, John A. Detre, Xavier Golay, Matthias Günther, Danny J.J. Wang, Sven Haller, Silvia Ingala, Hans Rolf Jäger, Geon‐Ho Jahng, Meher R. Juttukonda, Vera C. Keil, Hirohiko Kimura, Mai‐Lan Ho, Maarten H. Lequin, Xin Lou, Jan Petr, Nándor Pintér, Francesca B. Pizzini, Marion Smits, Magdalena Sokolska, Greg Zaharchuk, Henk Mutsaerts, on behalf of the ISMRM Perfusion Study Group - Magnetic Resonance in Medicine 2023 被引用: 154

  14. Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss

    著者: Jiahong Ouyang, Kevin T. Chen, Enhao Gong, John M. Pauly, Greg Zaharchuk - Medical Physics 2019 被引用: 182

  15. Deep Learning in Neuroradiology

    著者: Greg Zaharchuk, Enhao Gong, Max Wintermark, Daniel L. Rubin, Curtis P. Langlotz - American Journal of Neuroradiology 2018 被引用: 298

  16. Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model

    著者: Yongkai Liu, Yannan Yu, Jiahong Ouyang, Bin Jiang, Guang Yang, Sophie Ostmeier, Max Wintermark, Patrik Michel, David S. Liebeskind, Maarten G. Lansberg, Gregory W. Albers, Greg Zaharchuk - Stroke 2023 被引用: 72

  17. Low-count whole-body PET with deep learning in a multicenter and externally validated study

    著者: Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar - npj Digital Medicine, npj Digit. Medicine 2021 被引用: 71

  18. Artificial Intelligence Applications in Stroke

    著者: Kim Mouridsen, Patrick Thurner, Greg Zaharchuk - Stroke 2020 被引用: 131

  19. Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge

    著者: Arsany Hakim, Sören Christensen, Stefan Winzeck, Maarten G. Lansberg, Mark Parsons, Christian Lucas, David Robben, Roland Wiest, Mauricio Reyes, Greg Zaharchuk - Stroke 2021 被引用: 87

  20. Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information

    著者: Yuan Xie, Bin Jiang, Enhao Gong, Ying Li, Guangming Zhu, Patrik Michel, Max Wintermark, Greg Zaharchuk - American Journal of Roentgenology 2018 被引用: 135

  21. Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

    著者: Kevin T. Chen, Enhao Gong, Fabíola Macruz, Junshen Xu, Athanasia Boumis, Mehdi Khalighi, Kathleen L. Poston, Sharon J. Sha, Michael D. Greicius, Elizabeth C. Mormino, John M. Pauly, Shyam Srinivas, Greg Zaharchuk - Radiology 2018 被引用: 249

  22. ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

    著者: Stefan Winzeck, Arsany Hakim, Richard McKinley, José A. A. D. S. R. Pinto, Victor Alves, Carlos A. Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, Arlindo L. Oliveira, Youngwon Choi, Myunghee Cho Paik, Yongchan Kwon, Hanbyul Lee, Beom Joon Kim, Joong‐Ho Won, Mobarakol Islam, Hongliang Ren, David Robben, Paul Suetens, Enhao Gong, Yilin Niu, Junshen Xu, John M. Pauly, Christian Lucas, Mattias P. Heinrich‬, Luis Carlos Rivera Monroy, Laura Silvana Castillo, Laura Daza, Andrew Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy–Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes - Frontiers in Neurology 2018 被引用: 169

  23. A generic deep learning model for reduced gadolinium dose in contrast‐enhanced brain MRI

    著者: Srivathsa Pasumarthi, Jonathan I. Tamir, Sören Christensen, Greg Zaharchuk, Tao Zhang, Enhao Gong - Magnetic Resonance in Medicine 2021 被引用: 61

  24. True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation

    著者: Kevin T. Chen, Tyler N. Toueg, Mary Ellen I. Koran, Guido Davidzon, Michael Zeineh, Dawn Holley, Harsh Gandhi, Kim Halbert, Athanasia Boumis, Gabriel Kennedy, Elizabeth C. Mormino, Mehdi Khalighi, Greg Zaharchuk - European Journal of Nuclear Medicine and Molecular Imaging 2021 被引用: 57