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Lawrence H. Staib

Active 1989–2026

190
Papers
19,519
Citations
61
h-index
131
i10-index

Citations

Citations per year for Lawrence H. Staib1976: 1 citations1985: 2 citations1990: 7 citations1991: 7 citations1992: 14 citations1993: 13 citations1994: 27 citations1995: 41 citations1996: 61 citations1997: 54 citations1998: 80 citations1999: 119 citations2000: 181 citations2001: 204 citations2002: 328 citations2003: 406 citations2004: 398 citations2005: 351 citations2006: 389 citations2007: 391 citations2008: 387 citations2009: 378 citations2010: 316 citations2011: 310 citations2012: 304 citations2013: 236 citations2014: 215 citations2015: 198 citations2016: 156 citations2017: 157 citations2018: 148 citations2019: 361 citations2020: 327 citations2021: 423 citations2022: 388 citations2023: 378 citations2024: 453 citations2025: 394 citations2026: 43 citations1977–1984: no citations, so these years are not shown1986–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,401 citing papers, 35.4% of this breakdownChina: 925 citing papers, 9.6% of this breakdownUnited Kingdom: 629 citing papers, 6.6% of this breakdownGermany: 527 citing papers, 5.5% of this breakdownFrance: 454 citing papers, 4.7% of this breakdownCanada: 434 citing papers, 4.5% of this breakdownNetherlands: 318 citing papers, 3.3% of this breakdownAustralia: 213 citing papers, 2.2% of this breakdownItaly: 205 citing papers, 2.2% of this breakdownJapan: 198 citing papers, 2.1% of this breakdownSwitzerland: 185 citing papers, 1.9% of this breakdownSpain: 156 citing papers, 1.6% of this breakdown
0%35.4%Other 20.4%

Institutions

Fields

  • Computer Science28.8%
  • Medicine25.8%
  • Neuroscience24.3%
  • Psychology9.8%
  • Engineering4.6%
  • Biochemistry, Genetics and Molecular Biology2.9%
  • Other3.8%

Topics

  • Medical Image Segmentation Techniques8.7%
  • Stress Responses and Cortisol4%
  • Functional Brain Connectivity Studies4%
  • Advanced Neuroimaging Techniques and Applications2.4%
  • AI in cancer detection2.2%
  • Memory and Neural Mechanisms2.1%
  • Other76.6%

Coauthors

All papers

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  1. Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III

    Authors: Dinggang Shen, Tianming Liu, T.M. Peters, Lawrence H. Staib, Caroline Essert, Sean X. Zhou, Pew‐Thian Yap, Ali R. Khan - Lecture notes in computer science, MICCAI (3) 2019 cited by 540

  2. SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

    Authors: Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 314

  3. Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels

    Authors: Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2024 cited by 70

  4. Class-Aware Generative Adversarial Transformers for Medical Image Segmentation

    Authors: Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 135

  5. BioImage Suite: An integrated medical image analysis suite: An update

    Authors: Xenophon Papademetris, Marcel P. Jackowski, Nallkkandi Rajeevan, Marcello DiStasio, Hirohito Okuda, R. Todd Constable, Lawrence H. Staib - The Insight Journal 2006 cited by 331

  6. Hippocampal Volume Reduction in Major Depression

    Authors: J. Douglas Bremner, Meena Narayan, Eric Anderson, Lawrence H. Staib, Helen Miller, Dennis S. Charney - American Journal of Psychiatry 2000 cited by 1,667

  7. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

    Authors: Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan - Medical Image Analysis, Medical Image Anal. 2020 cited by 708

  8. Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning

    Authors: Khaled Bousabarah, Brian Letzen, Jonathan Tefera, Lynn Jeanette Savic, Isabel Schobert, Todd Schlachter, Lawrence H. Staib, Martin Köcher, Julius Chapiro, MingDe Lin - Abdominal Radiology 2020 cited by 82

  9. Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review

    Authors: Leon Jekel, Waverly Rose Brim, Marc von Reppert, Lawrence H. Staib, Gabriel Cassinelli Petersen, Sara Merkaj, Harry Subramanian, Tal Zeevi, Seyedmehdi Payabvash, Khaled Bousabarah, MingDe Lin, Jin Cui, Alexandria Brackett, Amit Mahajan, Antonio Omuro, Michele H. Johnson, Veronica Chiang, Ajay Malhotra, Björn Scheffler, Mariam Aboian - Cancers 2022 cited by 38

  10. Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography

    Authors: Kevinminh Ta, Shawn S. Ahn, Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, Jonathan Langdon, Lawrence H. Staib, Albert J. Sinusas, James S. Duncan - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2024 cited by 21

  11. Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms

    Authors: Alark Joshi, Dustin Scheinost, Hirohito Okuda, Dominique Belhachemi, Isabella Murphy, Lawrence H. Staib, Xenophon Papademetris - Neuroinformatics 2011 cited by 246

  12. Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

    Authors: Simon Iseke, Tal Zeevi, Ahmet S. Kücükkaya, Rajiv Raju, Moritz Gross, Stefan P. Haider, Alexandra Petukhova-Greenstein, Tom N. Kuhn, MingDe Lin, Michal Nowak, Kirsten Cooper, Elizabeth Thomas, Marc‐An dré Weber, David C. Madoff, Lawrence H. Staib, Ramesh Batra, Julius Chapiro - American Journal of Roentgenology 2022 cited by 27

  13. Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels

    Authors: Chenyu You, Weicheng Dai, Fenglin Liu, Min, Yifei, Dvornek, Nicha C., Lawrence H. Staib, Clifton, David A., Staib, Lawrence, Duncan, James S. - arXiv (Cornell University), CoRR 2022 cited by 35

  14. MRI and PET Study of Deficits in Hippocampal Structure and Function in Women With Childhood Sexual Abuse and Posttraumatic Stress Disorder

    Authors: J. Douglas Bremner, Meena Vythilingam, Eric Vermetten, Steven M. Southwick, Thomas McGlashan, Ahsan Nazeer, Sarfraz Khan, Viola Vaccarino, Robert Soufer, Pradeep Kumar Garg, Chin K. Ng, Lawrence H. Staib, James S. Duncan, Dennis S. Charney - American Journal of Psychiatry 2003 cited by 725

  15. Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

    Authors: Ahmet S. Kücükkaya, Tal Zeevi, Nathan Chai, Rajiv Raju, Stefan P. Haider, Mohamed Elbanan, Alexandra Petukhova-Greenstein, MingDe Lin, John A. Onofrey, Michal Nowak, Kirsten Cooper, Elizabeth Thomas, Jessica Gois Santana, Bernhard Gebauer, David C. Mulligan, Lawrence H. Staib, Ramesh Batra, Julius Chapiro - Scientific Reports 2023 cited by 23

  16. Reduced volume of orbitofrontal cortex in major depression

    Authors: J. Douglas Bremner, Meena Vythilingam, Eric Vermetten, Ahsan Nazeer, Jahan Zaib Adil, Sarfraz Khan, Lawrence H. Staib, Dennis S. Charney - Biological Psychiatry 2002 cited by 539

  17. Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size

    Authors: Matthew B. Johnson, Xingshen Sun, Andrew Kodani, Rebeca Borges-Monroy, Kelly M. Girskis, Steven C. Ryu, Peter P. Wang, Komal Patel, Dilenny M. Gonzalez, Yu Mi Woo, Ziying Yan, Bo Liang, Richard S. Smith, Manavi Chatterjee, Daniel Coman, Xenophon Papademetris, Lawrence H. Staib, Fahmeed Hyder, Joseph B. Mandeville, P. Ellen Grant, Kiho Im, Hojoong Kwak, John F. Engelhardt, Christopher A. Walsh, Byoung-Il Bae - Nature 2018 cited by 184

  18. 2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning

    Authors: Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan - IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) 2018 cited by 68

  19. Regional Brain Volumes and Their Later Neurodevelopmental Correlates in Term and Preterm Infants

    Authors: Bradley S. Peterson, Adam W. Anderson, Richard A. Ehrenkranz, Lawrence H. Staib, Magdi Tageldin, Eve R. Colson, John C. Gore, Charles C. Duncan, Robert Makuch, Laura R. Ment - PEDIATRICS 2003 cited by 453

  20. Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

    Authors: Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan - Medical Image Analysis, Medical Image Anal. 2013 cited by 96

  21. Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning

    Authors: John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 17

  22. Childhood Trauma Associated With Smaller Hippocampal Volume in Women With Major Depression

    Authors: Meena Vythilingam, Christine Heim, D. Jeffrey Newport, Andrew H. Miller, Eric Anderson, Richard A. Bronen, Marijn E. Brummer, Lawrence H. Staib, Eric Vermetten, Dennis S. Charney, Charles B. Nemeroff, J. Douglas Bremner - American Journal of Psychiatry 2002 cited by 815

  23. Neural Correlates of Memories of Childhood Sexual Abuse in Women With and Without Posttraumatic Stress Disorder

    Authors: J. Douglas Bremner, Meena Narayan, Lawrence H. Staib, Steven M. Southwick, Thomas H. McGlashan, Dennis S. Charney - American Journal of Psychiatry 1999 cited by 699

  24. Correction to: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

    Authors: Dinggang Shen, Tianming Liu, T.M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew‐Thian Yap, Ali R. Khan - Lecture notes in computer science 2019 cited by 31