Lawrence H. Staib

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 44

Top Venues

CoRR

Medical Image Anal.

IEEE Trans. Medical Imaging

ISBI

Publications

Xueqi Guo, Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Lawrence H. Staib, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. CoRR (2024)
Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CoRR (2024)
Xueqi Guo, Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Lawrence H. Staib, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. Medical Image Anal. 96 (2024)
Kevinminh Ta, Shawn S. Ahn, Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, Jonathan Langdon, Lawrence H. Staib, Albert J. Sinusas, James S. Duncan
Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Trans. Medical Imaging 43 (5) (2024)
Tal Ze'evi, Michael S. Leapman, Preston C. Sprenkle, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey
Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology. IEEE Trans. Biomed. Eng. 71 (3) (2024)
Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan
STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. CoRR (2024)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. IPMI (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR (2023)
Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. MLCN@MICCAI (2023)
Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan
Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images. CoRR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. MICCAI (4) (2023)
Jiayang Zhong, Lawrence H. Staib, Rajesh Venkataraman, John A. Onofrey
Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models. ISBI (2023)
Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation. CoRR (2023)
Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan
An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images. CoRR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. CoRR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. MICCAI (3) (2023)
Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR (2022)
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. DeCaF/FAIR@MICCAI (2022)
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. CoRR (2022)
Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS (2022)
Chenyu You, Weicheng Dai, Lawrence H. Staib, James S. Duncan
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. CoRR (2022)
Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41 (9) (2022)
Chenyu You, Weicheng Dai, Fenglin Liu, Haoran Su, Xiaoran Zhang, Lawrence H. Staib, James S. Duncan
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels. CoRR (2022)
Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) (2022)
Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. STACOM@MICCAI (2022)
Jiazhen Zhang, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey
Atlas-Based Semantic Segmentation of Prostate Zones. MICCAI (5) (2022)
Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
Learning correspondences of cardiac motion from images using biomechanics-informed modeling. CoRR (2022)
Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR (2021)
Allen Lu, Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Trans. Medical Imaging 40 (9) (2021)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74 (2021)
Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR (2021)
Lawrence H. Staib, Pengcheng Shi
Special issue on MICCAI 2019. Medical Image Anal. 70 (2021)
Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. 65 (2020)
Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR (2020)
Hao-Yu Yang, Lawrence H. Staib
Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling. ISBI (2019)
John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. IEEE Trans. Medical Imaging 38 (2) (2019)
John A. Onofrey, Dana I. Casetti-Dinescu, Andreas D. Lauritzen, Saradwata Sarkar, Rajesh Venkataraman, Richard E. Fan, Geoffrey A. Sonn, Preston C. Sprenkle, Lawrence H. Staib, Xenophon Papademetris
Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization. ISBI (2019)
Allen Lu, Nripesh Parajuli, Maria Zontak, John C. Stendahl, Kevinminh Ta, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Imran Alkhalil, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation. CoRR (2018)
Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR (2018)
Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI (2018)
John A. Onofrey, Lawrence H. Staib, Saradwata Sarkar, Rajesh Venkataraman, Cayce B. Nawaf, Preston C. Sprenkle, Xenophon Papademetris
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention. Medical Image Anal. 39 (2017)
John Treilhard, Susanne Smolka, Lawrence H. Staib, Julius Chapiro, Ming De Lin, Georgy Shakirin, James S. Duncan
Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. MICCAI (3) (2017)
John A. Onofrey, Ilkay Öksüz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention. SASHIMI@MICCAI (2016)
Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Prasanta Pal, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Mitchel Stacy, Lawrence H. Staib, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan
Correction to "Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography". IEEE Trans. Medical Imaging 34 (2) (2015)
Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan
Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]. Medical Image Anal. 22 (1) (2015)
John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration. IPMI (2015)
John A. Onofrey, Xenophon Papademetris, Lawrence H. Staib
Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data. IEEE Trans. Medical Imaging 34 (7) (2015)
John A. Onofrey, Lawrence H. Staib, Saradwata Sarkar, Rajesh Venkataraman, Xenophon Papademetris
Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention. ISBI (2015)
Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Prasanta Pal, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Mitchel Stacy, Lawrence H. Staib, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan
Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography. IEEE Trans. Medical Imaging 33 (6) (2014)
Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan
Contour tracking in echocardiographic sequences via sparse representation and dictionary learning. Medical Image Anal. 18 (2) (2014)
John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
Learning Nonrigid Deformations for Constrained Multi-modal Image Registration. MICCAI (3) (2013)
John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
Fast nonrigid image registration using statistical deformation models learned from richly-annotated data. ISBI (2013)
John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
Semi-supervised Learning of Nonrigid Deformations for Image Registration. MCV (2013)
Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation. IEEE Trans. Medical Imaging 31 (8) (2012)
Xiaojie Huang, Ben A. Lin, Colin B. Compas, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan
Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation. MMBIA (2012)
Hon Pong Ho, Fei Wang, Xenophon Papademetris, Hilary P. Blumberg, Lawrence H. Staib
Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract Parcellation. IEEE Trans. Medical Imaging 31 (2) (2012)
Chao Lu, Sudhakar Chelikani, David A. Jaffray, Michael F. Milosevic, Lawrence H. Staib, James S. Duncan
Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy. IEEE Trans. Medical Imaging 31 (6) (2012)
Hon Pong Ho, Catherine G. Harwood, Lawrence H. Staib
Fast parametrized volumetric DTI tract parcellation. ISBI (2011)
Yifeng Jiang, Zhen W. Zhuang, Albert J. Sinusas, Lawrence H. Staib, Xenophon Papademetris
Vessel Connectivity Using Murray's Hypothesis. MICCAI (3) (2011)
Alark Joshi, Dustin Scheinost, Hirohito Okuda, Dominique Belhachemi, Isabella Murphy, Lawrence H. Staib, Xenophon Papademetris
Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms. Neuroinformatics 9 (1) (2011)
Hon Pong Ho, Fei Wang, Xenophon Papademetris, Hilary P. Blumberg, Lawrence H. Staib
Integrated Parcellation and Normalization Using DTI Fasciculography. MICCAI (2) (2011)
Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Jonathan Knisely, Michael F. Milosevic, Zhe Chen, David A. Jaffray, Lawrence H. Staib, James S. Duncan
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy. Medical Image Anal. 15 (5) (2011)
Alark Joshi, Dustin Scheinost, R. Globinsky, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
Augmented inline-based navigation for stereotactic image guided neurosurgery. ISBI (2011)
Chao Lu, Sudhakar Chelikani, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy. MICCAI (1) (2010)
William Harvey Greene, Sudhakar Chelikani, Kailasnath Purushothaman, Jonathan Knisely, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]. Medical Image Anal. 14 (1) (2010)
Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan
Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery. IEEE Trans. Medical Imaging 29 (2) (2010)
Alark Joshi, A. Papanastassiou, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
Light-sensitive visualization of multimodal data for neurosurgical applications. ISBI (2010)
Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy. CVPR Workshops (2010)
H. Chahboune, Asht M. Mishra, Matthew N. DeSalvo, Lawrence H. Staib, Michael J. Purcaro, Dustin Scheinost, Xenios Papademetris, S. J. Fyson, M. L. Lorincz, Vincenzo Crunelli, Fahmeed Hyder, Hal Blumenfeld
DTI abnormalities in anterior corpus callosum of rats with spike-wave epilepsy. NeuroImage 47 (2) (2009)
Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Xenophon Papademetris, Lawrence H. Staib
Improving the Reliability of Shape Comparison by Perturbation. ISBI (2009)
Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Dongrong Xu, Jun Liu, Lainie F. Posecion, Bradley S. Peterson
Calculation of the confidence intervals for transformation parameters in the registration of medical images. Medical Image Anal. 13 (2) (2009)
William Harvey Greene, Sudhakar Chelikani, Kailas Purushothaman, J. P. S. Knisely, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
Constrained non-rigid registration for use in image-guided adaptive radiotherapy. Medical Image Anal. 13 (5) (2009)
Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jun Liu, Bradley S. Peterson
Using Perturbation theory to reduce noise in diffusion tensor fields. Medical Image Anal. 13 (4) (2009)
Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib, Xenophon Papademetris
Shape comparison using perturbing shape registration. CVPR (2009)
Hon Pong Ho, Xenophon Papademetris, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib
Volumetric Shape Model for Oriented Tubular Structure from DTI Data. MICCAI (1) (2009)
Shengying Li, Klaus Mueller, Marcel Jackowski, Donald P. Dione, Lawrence H. Staib
Physical-Space Refraction-Corrected Transmission Ultrasound Computed Tomography Made Computationally Practical. MICCAI (2) (2008)
William Harvey Greene, Sudhakar Chelikani, Kailas Purushothaman, Zhe Chen, Jonathan Knisely, Lawrence H. Staib, Xenophon Papademetris, James S. Duncan
A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy. MICCAI (1) (2008)
William Harvey Greene, Sudhakar Chelikani, Xenophon Papademetris, Lawrence H. Staib, Jonathan Knisely, James S. Duncan
Tracking organ overlap for a constrained non-rigid registration algorithm. ISBI (2008)
Deepti R. Bathula, Hemant D. Tagare, Lawrence H. Staib, Xenophon Papademetris, Robert T. Schultz, James S. Duncan
Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. MICCAI (2) (2008)
Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jason Royal, Bradley S. Peterson
Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors. IEEE Trans. Medical Imaging 27 (5) (2008)
Alark Joshi, Dustin Scheinost, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
Novel interaction techniques forneurosurgical planning and stereotactic navigation. IEEE Trans. Vis. Comput. Graph. 14 (6) (2008)
Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan
Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory. ICCV (2007)
Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Hongtu Zhu, Bradley S. Peterson
Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds. IEEE Trans. Medical Imaging 26 (1) (2007)
Lawrence H. Staib, Marcel Jackowski, Xenophon Papademetris
Brain shape characterization from deformation. ISBI (2006)
Shengying Li, Klaus Mueller, Marcel Jackowski, Donald P. Dione, Lawrence H. Staib
Fast marching method to correct for refraction in ultrasound computed tomography. ISBI (2006)
Xenophon Papademetris, Kenneth P. Vives, Marcello DiStasio, Lawrence H. Staib, Markus Neff, Sven Flossman, Nils Frielinghaus, Hitten Zaveri, Edward J. Novotny, Hal Blumenfeld, R. Todd Constable, Hoby P. Hetherington, Robert B. Duckrow, Susan S. Spencer, Dennis D. Spencer, James S. Duncan
Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery. ISBI (2006)
Ravi Bansal, Lawrence H. Staib, Ronald Whiteman, Yongmei Michelle Wang, Bradley S. Peterson
ROC-based assessments of 3D cortical surface-matching algorithms. NeuroImage 24 (1) (2005)
Xenophon Papademetris, Donald P. Dione, Lawrence W. Dobrucki, Lawrence H. Staib, Albert J. Sinusas
Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging. MICCAI (2) (2005)
Marcel Jackowski, Chiu Yen Kao, MaoLin Qiu, R. Todd Constable, Lawrence H. Staib
White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging. Medical Image Anal. 9 (5) (2005)
Xenophon Papademetris, Pavel Shkarin, Lawrence H. Staib, Kevin L. Behar
Regional Whole Body Fat Quantification in Mice. IPMI (2005)
Marcel Jackowski, Xenophon Papademetris, Lawrence W. Dobrucki, Albert J. Sinusas, Lawrence H. Staib
Characterizing Vascular Connectivity from microCT Images. MICCAI (2) (2005)
Jing Yang, Hemant D. Tagare, Lawrence H. Staib, James S. Duncan
Segmentation of 3D Deformable Objects with Level Set Based Prior Models. ISBI (2004)
Jing Yang, Lawrence H. Staib, James S. Duncan
Neighbor-constrained segmentation with level set based 3-D deformable models. IEEE Trans. Medical Imaging 23 (8) (2004)
Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan
Integrated Intensity and Point-Feature Nonrigid Registration. MICCAI (1) (2004)
Jing Yang, Xenophon Papademetris, Lawrence H. Staib, Robert T. Schultz, James S. Duncan
Functional Brain Image Analysis Using Joint Function-Structure Priors. MICCAI (2) (2004)
Marcel Jackowski, Chiu Yen Kao, MaoLin Qiu, R. Todd Constable, Lawrence H. Staib
Estimation of Anatomical Connectivity by Anisotropic Front Propagation and Diffusion Tensor Imaging. MICCAI (2) (2004)
Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson
Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model. MICCAI (1) (2004)
A. Ardeshir Goshtasby, Lawrence H. Staib, Colin Studholme, Demetri Terzopoulos
Nonrigid image registration: guest editors' introduction. Comput. Vis. Image Underst. 89 (2-3) (2003)
Yongmei Michelle Wang, Bradley S. Peterson, Lawrence H. Staib
3D Brain surface matching based on geodesics and local geometry. Comput. Vis. Image Underst. 89 (2-3) (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lawrence H. Staib