Soonmee Cha

Active 1984–2025

89
Papers
18,400
Citations
65
h-index
84
i10-index

Citations

Citations per year for Soonmee Cha1990: 1 citations1998: 1 citations2000: 5 citations2001: 3 citations2002: 16 citations2003: 21 citations2004: 66 citations2005: 66 citations2006: 161 citations2007: 118 citations2008: 113 citations2009: 137 citations2010: 137 citations2011: 141 citations2012: 143 citations2013: 173 citations2014: 194 citations2015: 208 citations2016: 163 citations2017: 211 citations2018: 170 citations2019: 564 citations2020: 621 citations2021: 649 citations2022: 477 citations2023: 476 citations2024: 699 citations2025: 485 citations2026: 126 citations1991–1997: no citations, so these years are not shown1999: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,286 citing papers, 29.4% of this breakdownChina: 653 citing papers, 8.4% of this breakdownGermany: 572 citing papers, 7.3% of this breakdownUnited Kingdom: 491 citing papers, 6.3% of this breakdownItaly: 376 citing papers, 4.8% of this breakdownFrance: 293 citing papers, 3.8% of this breakdownCanada: 271 citing papers, 3.5% of this breakdownNetherlands: 245 citing papers, 3.1% of this breakdownSwitzerland: 199 citing papers, 2.6% of this breakdownSpain: 188 citing papers, 2.4% of this breakdownJapan: 187 citing papers, 2.4% of this breakdownSouth Korea: 179 citing papers, 2.3% of this breakdown
0%29.4%Other 23.7%

Fields

  • Medicine69%
  • Computer Science9.4%
  • Biochemistry, Genetics and Molecular Biology9.2%
  • Neuroscience6.3%
  • Engineering1.9%
  • Materials Science1.4%
  • Other2.8%

Topics

  • 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%
  • Other59.9%

Coauthors

All papers

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 and 3 more - arXiv (Cornell University), CoRR 2021 cited by 492

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 and 179 more - Nature Communications 2022 cited by 340

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

    Authors: , , , , , , , , - Radiology Artificial Intelligence 2022 cited by 143

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

    Authors: , , , , , , , , , , , , , - American Journal of Neuroradiology 2018 cited by 487

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mitchel S. Berger, Susan M. Chang, Barry S. Taylor, J Costello - Science 2013 cited by 1,404

  6. Current Clinical Brain Tumor Imaging

    Authors: , , - Neurosurgery 2017 cited by 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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , L. Austin Doyle, Malcolm A. Smith, Ira J. Dunkel, Maryam Fouladi - The Lancet Oncology 2019 cited by 502

  8. The EDP Auditors Association in Australia

    Authors: , , , , , , - Australian Computer Journal, Aust. Comput. J. 1984 cited by 272

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

    Authors: , , , , , , , , , - Journal of Clinical Oncology 2008 cited by 1,276

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

    Authors: , , , , , , - Neuro-Oncology Advances 2022 cited by 72

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

    Authors: , , - Scientific Reports 2020 cited by 80

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 and 6 more - arXiv (Cornell University), CoRR 2023 cited by 25

  13. Modern Brain Tumor Imaging

    Authors: , , - Brain Tumor Research and Treatment 2015 cited by 235

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

    Authors: , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2018 cited by 195

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

    Authors: , , , , , , , - Journal of neurosurgery 2012 cited by 429

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

    Authors: , , , , , , , , , , , , - Neuro-Oncology 2012 cited by 223

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 cited by 17

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Neuro-Oncology 2016 cited by 233

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

    Authors: , , , , - Journal of neurosurgery 2023 cited by 52

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

    Authors: , , , , , , - Radiology 2009 cited by 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

    Authors: , , , , , , , - American Journal of Neuroradiology 2007 cited by 287

  22. Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas

    Authors: , , - Frontiers in Neuroscience 2022 cited by 54

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

    Authors: , , , , - Radiology Artificial Intelligence 2021 cited by 39

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

    Authors: , , , , , , , - 2004 cited by 1,094