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Lawrence H. Staib

yale university

66H-index
497Paper Count
2.1WCitation Count
Published Papers 74
Publication Date
Learning robust and task-invariant functional representation from fMRI through Siamese self-supervised learning
err2026-07-23
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errOAAI
errJiyao Wang; Peiyu Duan; Nicha C. Dvornek; Lawrence H. Staib; Denis Sukhodolsky; Pamela Ventola; James S. Duncan
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Corrigendum to “Applying dual energy computed tomography to postmortem coronary computed tomographic angiography” [J Cardiovasc Comput Tomogr (in press)]
err2025-11-26
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PREAI
errNadia Solomon; Matthew Hoerner; Billy Vermillion; Sun-Joo Jang; Harold Sanchez; Babina Gosangi; Lawrence Staib; Stephanie L. Thorn; Chi Liu; Albert J. Sinusas
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Applying dual energy computed tomography to postmortem coronary computed tomographic angiography
err2025-10-31
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PREAI
errNadia Solomon; Matthew Hoerner; Billy Vermillion; Sun-Joo Jang; Harold Sanchez; Babina Gosangi; Lawrence Staib; Stephanie L. Thorn; Chi Liu; Albert J. Sinusas
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Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies
err2025-02-08
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PREAI
errFuyao Chen; Roxana Esmaili; Ghazal Khajir; Tal Zeevi; Moritz Gross; Michael Leapman; Preston Sprenkle; Amy C. Justice; Sandeep Arora; Jeffrey C. Weinreb; Michael Spektor; Steffan Huber; Peter A. Humphrey; Angelique Levi; Lawrence H. Staib; Rajesh Venkataraman; Darryl T. Martin; John A. Onofrey
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Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week
err2024-12-01
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errOAAI
errYang, Junlin; Henao, John Anderson Garcia; Dvornek, Nicha; He, Jianchun; Bower, Danielle, V; Depotter, Arno; Bajercius, Herkus; de Mortanges, Aurelie Pahud; You, Chenyu; Gange, Christopher; Ledda, Roberta Eufrasia; Silva, Mario; Cruz, Charles S. Dela; Hautz, Wolf; Bonel, Harald M.; Reyes, Mauricio; Staib, Lawrence H.; Poellinger, Alexander; Duncan, James S.
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TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction
err2024-08-01
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errOAAI
errGuo, Xueqi; Shi, Luyao; Chen, Xiongchao; Liu, Qiong; Zhou, Bo; Xie, Huidong; Liu, Yi-Hwa; Palyo, Richard; Miller, Edward J.; Sinusas, Albert J.; Staib, Lawrence; Spottiswoode, Bruce; Liu, Chi; Dvornek, Nicha C.
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Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography
err2024-05-01
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PREAI
errTa, Kevinminh; Ahn, Shawn S.; Thorn, Stephanie L.; Stendahl, John C.; Zhang, Xiaoran; Langdon, Jonathan; Staib, Lawrence H.; Sinusas, Albert J.; Duncan, James S.
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Multicenter Quantification of Radiation Exposure and Associated Risks for Prostatic Artery Embolization in 1476 Patients
errRADIOLOGY
IF15.2
err2024-03-01
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PREAI
errAyyagari, Raj; Rahman, Saumik Z.; Grizzard, Kevin; Mustafa, Adel; Staib, Lawrence H.; Makkia, Rasha S.; Bhatia, Shivank; Bilhim, Tiago; Carnevale, Francisco C.; Davis, Clifford; Fischman, Aaron; Isaacson, Ari; McClure, Timothy; McWilliams, Justin; Nutting, Charles; Richardson, Andrew; Salem, Riad; Sapoval, Marc; Yu, Hyeon
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Deferral of Estimated Glomerular Filtration Rate Testing Before Contrast-Enhanced CT in Low-Risk Emergency Department Patients: Assessment of Safety and Impact on Throughput
err2024-01-01
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PREAI
errGunabushanam, Gowthaman; Asch, Daniella; van Luling, Janelle; Kuehne, Alexander; Alkukhun, Abedalrazaq; Staib, Lawrence; Venkatesh, Arjun; Pahade, Jay Kumar
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A Multiclass Radiomics Method-Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans
err2023-07-27
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errOAAI
errHenao, John Anderson Garcia; Depotter, Arno; Bower, Danielle V.; Bajercius, Herkus; Todorova, Plamena Teodosieva; Saint-James, Hugo; de Mortanges, Aurelie Pahud; Barroso, Maria Cecilia; He, Jianchun; Yang, Junlin; You, Chenyu; Staib, Lawrence H.; Gange, Christopher; Ledda, Roberta Eufrasia; Caminiti, Caterina; Silva, Mario; Cortopassi, Isabel Oliva; Dela Cruz, Charles S.; Hautz, Wolf; Bonel, Harald M.; Sverzellati, Nicola; Duncan, James S.; Reyes, Mauricio; Poellinger, Alexander
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Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
err2023-05-10
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errOAAI
errKucukkaya, Ahmet Said; Zeevi, Tal; Chai, Nathan Xianming; Raju, Rajiv; Haider, Stefan Philipp; Elbanan, Mohamed; Petukhova-Greenstein, Alexandra; Lin, MingDe; Onofrey, John; Nowak, Michal; Cooper, Kirsten; Thomas, Elizabeth; Santana, Jessica; Gebauer, Bernhard; Mulligan, David; Staib, Lawrence; Batra, Ramesh; Chapiro, Julius
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Prediction of Adverse Pathology at Radical Prostatectomy in Grade Group 2 and 3 Prostate Biopsies Using Machine Learning
err2022-09-01
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PREAI
errPaulson, Nathan; Zeevi, Tal; Papademetris, Maria; Leapman, Michael S.; Onofrey, John A.; Sprenkle, Preston C.; Humphrey, Peter A.; Staib, Lawrence H.; Levi, Angelique W.
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Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries
err2022-06-14
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errOAAI
errTillmanns, Niklas; Lum, Avery E.; Cassinelli, Gabriel; Merkaj, Sara; Verma, Tej; Zeevi, Tal; Staib, Lawrence; Subramanian, Harry; Bahar, Ryan C.; Brim, Waverly; Lost, Jan; Jekel, Leon; Brackett, Alexandria; Payabvash, Sam; Ikuta, Ichiro; Lin, MingDe; Bousabarah, Khaled; Johnson, Michele H.; Cui, Jin; Malhotra, Ajay; Omuro, Antonio; Turowski, Bernd; Aboian, Mariam S.
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Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis
err2022-04-22
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errOAAI
errBahar, Ryan C.; Merkaj, Sara; Cassinelli Petersen, Gabriel I.; Tillmanns, Niklas; Subramanian, Harry; Brim, Waverly Rose; Zeevi, Tal; Staib, Lawrence; Kazarian, Eve; Lin, MingDe; Bousabarah, Khaled; Huttner, Anita J.; Pala, Andrej; Payabvash, Seyedmehdi; Ivanidze, Jana; Cui, Jin; Malhotra, Ajay; Aboian, Mariam S.
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Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment
err2022-03-31
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errOAAI
errPetersen, G. I. Cassinelli; Shatalov, J.; Verma, T.; Brim, W. R.; Subramanian, H.; Brackett, A.; Bahar, R. C.; Merkaj, S.; Zeevi, T.; Staib, L. H.; Cui, J.; Omuro, A.; Bronen, R. A.; Malhotra, A.; Aboian, M. S.
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BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
err2021-12-01
err290
errOAAI
errLi, Xiaoxiao; Zhou, Yuan; Dvornek, Nicha; Zhang, Muhan; Gao, Siyuan; Zhuang, Juntang; Scheinost, Dustin; Staib, Lawrence H.; Ventola, Pamela; Duncan, James S.
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Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation
err2021-09-01
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errOAAI
errLu, Allen; Ahn, Shawn S.; Ta, Kevinminh; Parajuli, Nripesh; Stendahl, John C.; Liu, Zhao; Boutagy, Nabil E.; Jeng, Geng-Shi; Staib, Lawrence H.; O'Donnell, Matthew; Sinusas, Albert J.; Duncan, James S.
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Special issue on MICCAI 2019
err2021-05-01
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PREAI
errStaib, Lawrence H.; Shi, Pengcheng
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Multi-site fMRI analysis using privacy-preserving fe derate d learning and domain adaptation: ABIDE results
err2020-10-01
err235
errOAAI
errLi, Xiaoxiao; Gu, Yufeng; Dvornek, Nicha; Staib, Lawrence H.; Ventola, Pamela; Duncan, James S.
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