Soonmee Cha

1984–2025 年に発表

89
論文数
18,400
被引用数
65
h 指数
84
i10 指数

被引用数

Soonmee Cha の年別被引用数1990 年: 被引用 1 件1998 年: 被引用 1 件2000 年: 被引用 5 件2001 年: 被引用 3 件2002 年: 被引用 16 件2003 年: 被引用 21 件2004 年: 被引用 66 件2005 年: 被引用 66 件2006 年: 被引用 161 件2007 年: 被引用 118 件2008 年: 被引用 113 件2009 年: 被引用 137 件2010 年: 被引用 137 件2011 年: 被引用 141 件2012 年: 被引用 143 件2013 年: 被引用 173 件2014 年: 被引用 194 件2015 年: 被引用 208 件2016 年: 被引用 163 件2017 年: 被引用 211 件2018 年: 被引用 170 件2019 年: 被引用 564 件2020 年: 被引用 621 件2021 年: 被引用 649 件2022 年: 被引用 477 件2023 年: 被引用 476 件2024 年: 被引用 699 件2025 年: 被引用 485 件2026 年: 被引用 126 件1991〜1997 年は被引用が無いため表示していません1999 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 2,286 件、この内訳の 29.4%中国: 引用元論文 653 件、この内訳の 8.4%ドイツ: 引用元論文 572 件、この内訳の 7.3%イギリス: 引用元論文 491 件、この内訳の 6.3%イタリア: 引用元論文 376 件、この内訳の 4.8%フランス: 引用元論文 293 件、この内訳の 3.8%カナダ: 引用元論文 271 件、この内訳の 3.5%オランダ: 引用元論文 245 件、この内訳の 3.1%スイス: 引用元論文 199 件、この内訳の 2.6%スペイン: 引用元論文 188 件、この内訳の 2.4%日本: 引用元論文 187 件、この内訳の 2.4%韓国: 引用元論文 179 件、この内訳の 2.3%
0%29.4%その他 23.7%

分野

  • Medicine69%
  • Computer Science9.4%
  • Biochemistry, Genetics and Molecular Biology9.2%
  • Neuroscience6.3%
  • Engineering1.9%
  • Materials Science1.4%
  • その他2.8%

トピック

  • Glioma Diagnosis and Treatment17.6%
  • Radiomics and Machine Learning in Medical Imaging6.9%
  • MRI in cancer diagnosis4.8%
  • Brain Tumor Detection and Classification3.9%
  • Advanced MRI Techniques and Applications3.8%
  • Brain Metastases and Treatment3.1%
  • その他59.9%

共著者

全論文

検索で開く
  1. The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bronstein, Yulia, Mason, James R., Miller, Anthony F., Choudhary, Gagandeep, Agarwal, Aanchal, Besada, Cristina H., Derakhshan, Jamal J., Diogo, Mariana C., Do-Dai, Daniel D., Farage, Luciano, Go, John L., Hadi, Mohiuddin, Hill, Virginia B., Iv, Michael, Joyner, David, Lincoln, Christie, Lotan, Eyal, Miyakoshi, Asako, Sanchez-Montano, Mariana, Nath, Jaya, Nguyen, Xuan V., Nicolas-Jilwan, Manal, Jimenez, Johanna Ortiz, Ozturk, Kerem, Petrovic, Bojan D., Shah, Chintan, Shah, Lubdha M., Sharma, Manas, Simsek, Onur, Singh, Achint K., Soman, Salil, Statsevych, Volodymyr, Weinberg, Brent D., Young, Robert J., Ikuta, Ichiro, Agarwal, Amit K., Cambron, Sword C., Silbergleit, Richard, Dusoi, Alexandru, Postma, Alida A., Letourneau-Guillon, Laurent, Perez-Carrillo, Gloria J. Guzman, Saha, Atin, Soni, Neetu, Zaharchuk, Greg, Zohrabian, Vahe M., Chen, Yingming, Cekic, Milos M., Rahman, Akm, Small, Juan E., Sethi, Varun, Christos Davatzikos, John Mongan, Christopher W. Hess, Soonmee Cha, Javier Villanueva-Meyer, John Freymann, Justin Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah‐Shaykh, Roland Wiest, András Jakab, Marc‐An dré Weber, Abhishek Mahajan ほか 3 名 - arXiv (Cornell University), CoRR 2021 被引用: 492

  2. Federated learning enables big data for rare cancer boundary detection

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph S. Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel S. Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz ほか 179 名 - Nature Communications 2022 被引用: 340

  3. The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

    著者: , , , , , , , , - Radiology Artificial Intelligence 2022 被引用: 143

  4. Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

    著者: , , , , , , , , , , , , , - American Journal of Neuroradiology 2018 被引用: 487

  5. Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mitchel S. Berger, Susan M. Chang, Barry S. Taylor, J Costello - Science 2013 被引用: 1,404

  6. Current Clinical Brain Tumor Imaging

    著者: , , - Neurosurgery 2017 被引用: 441

  7. Selumetinib in paediatric patients with BRAF-aberrant or neurofibromatosis type 1-associated recurrent, refractory, or progressive low-grade glioma: a multicentre, phase 2 trial

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , L. Austin Doyle, Malcolm A. Smith, Ira J. Dunkel, Maryam Fouladi - The Lancet Oncology 2019 被引用: 502

  8. The EDP Auditors Association in Australia

    著者: , , , , , , - Australian Computer Journal, Aust. Comput. J. 1984 被引用: 272

  9. Role of Extent of Resection in the Long-Term Outcome of Low-Grade Hemispheric Gliomas

    著者: , , , , , , , , , - Journal of Clinical Oncology 2008 被引用: 1,276

  10. Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma

    著者: , , , , , , - Neuro-Oncology Advances 2022 被引用: 72

  11. A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas

    著者: , , - Scientific Reports 2020 被引用: 80

  12. The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Maruf Adewole, Syed Muhammad Anwar, Ujjwal Baid, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Hongwei Li, Ahmed W. Moawad, Gian-Marco Conte, Keyvan Farahani, J. Mark Eddy, Sheller, Micah, Pati, Sarthak, Karagyris, Alexandros, Aristizabal, Alejandro, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter F. Wiggins, Zachary J. Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Elaine Johanson, Zeke Meier, Ariana Familiar, Christos Davatzikos, John Freymann, Justin Kirby, Michel Bilello, Hassan M. Fathallah‐Shaykh, Roland Wiest, Jan S. Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel C. Marcus, Mikhail Milchenko, Arash Nazeri, Marc‐An dré Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher P. Hess, Soonmee Cha, Javier Villanueva‐Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Fatade, Abiodun, Omidiji, Olubukola, Lagos, Rachel Akinola, Olatunji, O O, Khanna, Goldey, Kirkpatrick, John, Alonso-Basanta, Michelle, Rashid, Arif, Bornhorst, Miriam, Nabavizadeh, Ali, Lepore, Natasha, Palmer, Joshua, Porras, Antonio, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Calabrese, Evan, Rudie, Jeffrey David, Linguraru, Marius George, Juan Eugenio Iglesias ほか 6 名 - arXiv (Cornell University), CoRR 2023 被引用: 25

  13. Modern Brain Tumor Imaging

    著者: , , - Brain Tumor Research and Treatment 2015 被引用: 235

  14. Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy

    著者: , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2018 被引用: 195

  15. Impact of extent of resection for recurrent glioblastoma on overall survival

    著者: , , , , , , , - Journal of neurosurgery 2012 被引用: 429

  16. Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging

    著者: , , , , , , , , , , , , - Neuro-Oncology 2012 被引用: 223

  17. The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Elaine Johanson, Zeke Meier, Christos Davatzikos, John Freymann, Justin Kirby, Michel Bilello, Hassan M. Fathallah‐Shaykh, Roland Wiest, Jan S. Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Marc André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher P. Hess, Soonmee Cha, Javier Rodríguez Villanueva, Meyer Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Chung, Verena, Timothy Bergquist, J. Mark Eddy, Jake Albrecht, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern Menze, Juan Eugenio Iglesias, Benedikt Wiestler - arXiv (Cornell University), CoRR 2023 被引用: 17

  18. Targeted next-generation sequencing of pediatric neuro-oncology patients improves diagnosis, identifies pathogenic germline mutations, and directs targeted therapy

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Neuro-Oncology 2016 被引用: 233

  19. Pseudoprogression versus true progression in glioblastoma: what neurosurgeons need to know

    著者: , , , , - Journal of neurosurgery 2023 被引用: 52

  20. Differentiation of Recurrent Glioblastoma Multiforme from Radiation Necrosis after External Beam Radiation Therapy with Dynamic Susceptibility-weighted Contrast-enhanced Perfusion MR Imaging

    著者: , , , , , , - Radiology 2009 被引用: 407

  21. Differentiation of Glioblastoma Multiforme and Single Brain Metastasis by Peak Height and Percentage of Signal Intensity Recovery Derived from Dynamic Susceptibility-Weighted Contrast-Enhanced Perfusion MR Imaging

    著者: , , , , , , , - American Journal of Neuroradiology 2007 被引用: 287

  22. Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas

    著者: , , - Frontiers in Neuroscience 2022 被引用: 54

  23. Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks

    著者: , , , , - Radiology Artificial Intelligence 2021 被引用: 39

  24. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.

    著者: , , , , , , , - 2004 被引用: 1,094