Lawrence H. Staib

154 papers A* 12A 6B 1Journal 71Unranked 58

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Causal Modeling of FMRI Time-Series for Interpretable Autism Spectrum Disorder Classification. ISBI Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Lawrence H. Staib, James S. Duncan
2025	—	`conf`	Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout. ISBI Tal Zeevi, Lawrence H. Staib, John A. Onofrey
2025	J	`jnl`	Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout. CoRR Tal Zeevi, Lawrence H. Staib, John A. Onofrey
2025	J	`jnl`	Progressive Test Time Energy Adaptation for Medical Image Segmentation. CoRR Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong
2025	A*	`conf`	Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation. CVPR Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey
2025	J	`jnl`	Spatially-Aware Evaluation of Segmentation Uncertainty. CoRR Tal Zeevi, Eléonore V. Lieffrig, Lawrence H. Staib, John A. Onofrey
2025	—	`conf`	Towards Zero-Shot Task-Generalizable Learning on FMRI. ISBI Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, James S. Duncan
2025	J	`jnl`	Towards Zero-Shot Task-Generalizable Learning on fMRI. CoRR Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, James S. Duncan
2024	—	`conf`	Adaptive Correspondence Scoring for Unsupervised Medical Image Registration. ECCV (38) Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alex Wong, James S. Duncan
2024	A*	`conf`	Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CVPR Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan
2024	J	`jnl`	Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CoRR Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan
2024	J	`jnl`	Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging. IEEE Trans. Biomed. Eng. Geng-Shi Jeng, Po-Syun Chen, Min-Yen Hsieh, Zhao Liu, Jonathan Langdon, Shawn S. Ahn, Lawrence H. Staib, John C. Stendahl, Stephanie Thorn, Albert J. Sinusas, James S. Duncan, Matthew O'Donnell
2024	—	`conf`	Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. MICCAI (2) 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
2024	J	`jnl`	Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan
2024	—	`conf`	Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning. ISBI Tal Ze'evi, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey
2024	J	`jnl`	Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Trans. Medical Imaging Kevinminh Ta, Shawn S. Ahn, Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, Jonathan Langdon, Lawrence H. Staib, Albert J. Sinusas, James S. Duncan
2024	J	`jnl`	Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Comput. Medical Imaging Graph. Junlin Yang, John Anderson Garcia Henao, Nicha C. Dvornek, Jianchun He, Danielle V. Bower, Arno Depotter, Herkus Bajercius, Aurélie Pahud de Mortanges, Chenyu You, Christopher Gange, Roberta Eufrasia Ledda, Mario Silva, Charles S. Dela Cruz, Wolf Hautz, Harald M. Bonel, Mauricio Reyes, Lawrence H. Staib, Alexander Poellinger, James S. Duncan
2024	J	`jnl`	Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation. CoRR Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey
2024	J	`jnl`	Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology. IEEE Trans. Biomed. Eng. Tal Ze'evi, Michael S. Leapman, Preston C. Sprenkle, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey
2024	J	`jnl`	STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. CoRR Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2024	J	`jnl`	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 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
2024	J	`jnl`	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. 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
2023	—	`conf`	ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. MICCAI (4) Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
2023	J	`jnl`	ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
2023	J	`jnl`	An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images. CoRR Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan
2023	—	`conf`	Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. IPMI Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
2023	J	`jnl`	Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images. CoRR 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
2023	—	`conf`	Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. MICCAI (3) Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
2023	J	`jnl`	Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. CoRR Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
2023	—	`conf`	Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models. ISBI Jiayang Zhong, Lawrence H. Staib, Rajesh Venkataraman, John A. Onofrey
2023	—	`conf`	Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. MLCN@MICCAI Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
2023	J	`jnl`	Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation. CoRR Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
2023	A*	`conf`	Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan
2022	—	`conf`	Atlas-Based Semantic Segmentation of Prostate Zones. MICCAI (5) Jiazhen Zhang, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey
2022	J	`jnl`	Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. CoRR Chenyu You, Weicheng Dai, Lawrence H. Staib, James S. Duncan
2022	A*	`conf`	Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
2022	—	`conf`	Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. DeCaF/FAIR@MICCAI Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. CoRR Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan
2022	—	`conf`	Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. STACOM@MICCAI Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Learning correspondences of cardiac motion from images using biomechanics-informed modeling. CoRR Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels. CoRR Chenyu You, Weicheng Dai, Fenglin Liu, Haoran Su, Xiaoran Zhang, Lawrence H. Staib, James S. Duncan
2022	—	`conf`	Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2021	J	`jnl`	BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2021	J	`jnl`	SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2021	J	`jnl`	Special issue on MICCAI 2019. Medical Image Anal. Lawrence H. Staib, Pengcheng Shi
2020	J	`jnl`	Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2019	—	`conf`	Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling. ISBI Hao-Yu Yang, Lawrence H. Staib
2019	—	`conf`	Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization. ISBI 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
2019	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I MICCAI (1) Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan
2019	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II MICCAI (2) Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan
2019	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III MICCAI (3) Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan
2019	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV MICCAI (4) Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan
2019	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V MICCAI (5) Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan
2019	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI MICCAI (6) Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan
2019	J	`jnl`	Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. IEEE Trans. Medical Imaging John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
2018	—	`conf`	2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2018	J	`jnl`	Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation. CoRR 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
2018	J	`jnl`	Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan
2017	J	`jnl`	Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention. Medical Image Anal. John A. Onofrey, Lawrence H. Staib, Saradwata Sarkar, Rajesh Venkataraman, Cayce B. Nawaf, Preston C. Sprenkle, Xenophon Papademetris
2017	—	`conf`	Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. MICCAI (3) John Treilhard, Susanne Smolka, Lawrence H. Staib, Julius Chapiro, Ming De Lin, Georgy Shakirin, James S. Duncan
2016	—	`conf`	MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention. SASHIMI@MICCAI John A. Onofrey, Ilkay Öksüz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris
2015	J	`jnl`	Correction to "Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography". IEEE Trans. Medical Imaging 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
2015	J	`jnl`	Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]. Medical Image Anal. Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan
2015	—	`conf`	Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention. ISBI John A. Onofrey, Lawrence H. Staib, Saradwata Sarkar, Rajesh Venkataraman, Xenophon Papademetris
2015	J	`jnl`	Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data. IEEE Trans. Medical Imaging John A. Onofrey, Xenophon Papademetris, Lawrence H. Staib
2015	—	`conf`	Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration. IPMI John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
2014	J	`jnl`	Contour tracking in echocardiographic sequences via sparse representation and dictionary learning. Medical Image Anal. Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan
2014	J	`jnl`	Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography. IEEE Trans. Medical Imaging 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
2013	—	`conf`	Fast nonrigid image registration using statistical deformation models learned from richly-annotated data. ISBI John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
2013	—	`conf`	Learning Nonrigid Deformations for Constrained Multi-modal Image Registration. MICCAI (3) John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
2013	—	`conf`	Semi-supervised Learning of Nonrigid Deformations for Image Registration. MCV John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
2012	J	`jnl`	Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract Parcellation. IEEE Trans. Medical Imaging Hon Pong Ho, Fei Wang, Xenophon Papademetris, Hilary P. Blumberg, Lawrence H. Staib
2012	—	`conf`	Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation. MMBIA Xiaojie Huang, Ben A. Lin, Colin B. Compas, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan
2012	J	`jnl`	Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy. IEEE Trans. Medical Imaging Chao Lu, Sudhakar Chelikani, David A. Jaffray, Michael F. Milosevic, Lawrence H. Staib, James S. Duncan
2012	J	`jnl`	Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation. IEEE Trans. Medical Imaging Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan
2011	J	`jnl`	An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy. Medical Image Anal. Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Jonathan Knisely, Michael F. Milosevic, Zhe Chen, David A. Jaffray, Lawrence H. Staib, James S. Duncan
2011	—	`conf`	Augmented inline-based navigation for stereotactic image guided neurosurgery. ISBI Alark Joshi, Dustin Scheinost, R. Globinsky, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
2011	—	`conf`	Fast parametrized volumetric DTI tract parcellation. ISBI Hon Pong Ho, Catherine G. Harwood, Lawrence H. Staib
2011	—	`conf`	Integrated Parcellation and Normalization Using DTI Fasciculography. MICCAI (2) Hon Pong Ho, Fei Wang, Xenophon Papademetris, Hilary P. Blumberg, Lawrence H. Staib
2011	J	`jnl`	Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms. Neuroinformatics Alark Joshi, Dustin Scheinost, Hirohito Okuda, Dominique Belhachemi, Isabella Murphy, Lawrence H. Staib, Xenophon Papademetris
2011	—	`conf`	Vessel Connectivity Using Murray's Hypothesis. MICCAI (3) Yifeng Jiang, Zhen W. Zhuang, Albert J. Sinusas, Lawrence H. Staib, Xenophon Papademetris
2010	—	`conf`	Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy. CVPR Workshops Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
2010	J	`jnl`	Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]. Medical Image Anal. William Harvey Greene, Sudhakar Chelikani, Kailasnath Purushothaman, Jonathan Knisely, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
2010	J	`jnl`	Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery. IEEE Trans. Medical Imaging Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan
2010	—	`conf`	Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy. MICCAI (1) Chao Lu, Sudhakar Chelikani, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
2010	—	`conf`	Light-sensitive visualization of multimodal data for neurosurgical applications. ISBI Alark Joshi, Alexander Papanastassiou, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
2009	J	`jnl`	Calculation of the confidence intervals for transformation parameters in the registration of medical images. Medical Image Anal. Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Dongrong Xu, Jun Liu, Lainie F. Posecion, Bradley S. Peterson
2009	J	`jnl`	Constrained non-rigid registration for use in image-guided adaptive radiotherapy. Medical Image Anal. William Harvey Greene, Sudhakar Chelikani, Kailas Purushothaman, J. P. S. Knisely, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan
2009	J	`jnl`	DTI abnormalities in anterior corpus callosum of rats with spike-wave epilepsy. NeuroImage 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
2009	—	`conf`	Improving the Reliability of Shape Comparison by Perturbation. ISBI Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Xenophon Papademetris, Lawrence H. Staib
2009	A*	`conf`	Shape comparison using perturbing shape registration. CVPR Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib, Xenophon Papademetris
2009	J	`jnl`	Using Perturbation theory to reduce noise in diffusion tensor fields. Medical Image Anal. Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jun Liu, Bradley S. Peterson
2009	—	`conf`	Volumetric Shape Model for Oriented Tubular Structure from DTI Data. MICCAI (1) Hon Pong Ho, Xenophon Papademetris, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib
2008	—	`conf`	A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy. MICCAI (1) William Harvey Greene, Sudhakar Chelikani, Kailas Purushothaman, Zhe Chen, Jonathan Knisely, Lawrence H. Staib, Xenophon Papademetris, James S. Duncan
2008	—	`conf`	Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. MICCAI (2) Deepti R. Bathula, Hemant D. Tagare, Lawrence H. Staib, Xenophon Papademetris, Robert T. Schultz, James S. Duncan
2008	J	`jnl`	Novel interaction techniques forneurosurgical planning and stereotactic navigation. IEEE Trans. Vis. Comput. Graph. Alark Joshi, Dustin Scheinost, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
2008	—	`conf`	Physical-Space Refraction-Corrected Transmission Ultrasound Computed Tomography Made Computationally Practical. MICCAI (2) Shengying Li, Klaus Mueller, Marcel Jackowski, Donald P. Dione, Lawrence H. Staib
2008	—	`conf`	Tracking organ overlap for a constrained non-rigid registration algorithm. ISBI William Harvey Greene, Sudhakar Chelikani, Xenophon Papademetris, Lawrence H. Staib, Jonathan Knisely, James S. Duncan
2008	J	`jnl`	Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors. IEEE Trans. Medical Imaging Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jason Royal, Bradley S. Peterson
2007	A*	`conf`	Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory. ICCV Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan
2007	J	`jnl`	Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds. IEEE Trans. Medical Imaging Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Hongtu Zhu, Bradley S. Peterson
2006	—	`conf`	Brain shape characterization from deformation. ISBI Lawrence H. Staib, Marcel Jackowski, Xenophon Papademetris
2006	—	`conf`	Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery. ISBI 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
2006	—	`conf`	Fast marching method to correct for refraction in ultrasound computed tomography. ISBI Shengying Li, Klaus Mueller, Marcel Jackowski, Donald P. Dione, Lawrence H. Staib
2005	—	`conf`	Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging. MICCAI (2) Xenophon Papademetris, Donald P. Dione, Lawrence W. Dobrucki, Lawrence H. Staib, Albert J. Sinusas
2005	—	`conf`	Characterizing Vascular Connectivity from microCT Images. MICCAI (2) Marcel Jackowski, Xenophon Papademetris, Lawrence W. Dobrucki, Albert J. Sinusas, Lawrence H. Staib
2005	J	`jnl`	ROC-based assessments of 3D cortical surface-matching algorithms. NeuroImage Ravi Bansal, Lawrence H. Staib, Ronald Whiteman, Yongmei Michelle Wang, Bradley S. Peterson
2005	—	`conf`	Regional Whole Body Fat Quantification in Mice. IPMI Xenophon Papademetris, Pavel Shkarin, Lawrence H. Staib, Kevin L. Behar
2005	J	`jnl`	White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging. Medical Image Anal. Marcel Jackowski, Chiu Yen Kao, MaoLin Qiu, R. Todd Constable, Lawrence H. Staib
2004	—	`conf`	Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model. MICCAI (1) Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson
2004	—	`conf`	Estimation of Anatomical Connectivity by Anisotropic Front Propagation and Diffusion Tensor Imaging. MICCAI (2) Marcel Jackowski, Chiu Yen Kao, MaoLin Qiu, R. Todd Constable, Lawrence H. Staib
2004	—	`conf`	Functional Brain Image Analysis Using Joint Function-Structure Priors. MICCAI (2) Jing Yang, Xenophon Papademetris, Lawrence H. Staib, Robert T. Schultz, James S. Duncan
2004	—	`conf`	Integrated Intensity and Point-Feature Nonrigid Registration. MICCAI (1) Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan
2004	J	`jnl`	Neighbor-constrained segmentation with level set based 3-D deformable models. IEEE Trans. Medical Imaging Jing Yang, Lawrence H. Staib, James S. Duncan
2004	—	`conf`	Segmentation of 3D Deformable Objects with Level Set Based Prior Models. ISBI Jing Yang, Hemant D. Tagare, Lawrence H. Staib, James S. Duncan
2003	J	`jnl`	3D Brain surface matching based on geodesics and local geometry. Comput. Vis. Image Underst. Yongmei Michelle Wang, Bradley S. Peterson, Lawrence H. Staib
2003	—	`conf`	Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis. MICCAI (2) Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan
2003	J	`jnl`	Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. IEEE Trans. Medical Imaging Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
2003	J	`jnl`	Image processing and analysis at ipag. IEEE Trans. Medical Imaging James S. Duncan, Lawrence H. Staib
2003	—	`conf`	Neighbor-Constrained Segmentation with 3D Deformable Models. IPMI Jing Yang, Lawrence H. Staib, James S. Duncan
2003	—	`conf`	Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression. IPMI Yongmei Michelle Wang, Robert T. Schultz, R. Todd Constable, Lawrence H. Staib
2003	J	`jnl`	Nonrigid image registration: guest editors' introduction. Comput. Vis. Image Underst. A. Ardeshir Goshtasby, Lawrence H. Staib, Colin Studholme, Demetri Terzopoulos
2002	—	`conf`	Prior shape models for boundary finding. ISBI Lawrence H. Staib
2002	—	`conf`	Statistical Neighbor Distance Influence in Active Contours. MICCAI (1) Jing Yang, Lawrence H. Staib, James S. Duncan
2000	J	`jnl`	Boundary Finding with Prior Shape and Smoothness Models. IEEE Trans. Pattern Anal. Mach. Intell. Yongmei Wang, Lawrence H. Staib
2000	J	`jnl`	Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Anal. Yongmei Michelle Wang, Lawrence H. Staib
2000	J	`jnl`	Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction. J. Am. Medical Informatics Assoc. Mark E. Mattie, Lawrence H. Staib, Eric Stratmann, Hemant D. Tagare, James S. Duncan, Perry L. Miller
2000	A*	`conf`	Shape-Based 3D Surface Correspondence Using Geodesics and Local Geometry. CVPR Yongmei Wang, Bradley S. Peterson, Lawrence H. Staib
1999	A	`conf`	A New Approach to 3D Sulcal Ribbon Finding from MR Images. MICCAI Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, Hemant D. Tagare, Lawrence Win, James S. Duncan
1999	A	`conf`	Entropy-Based, MICCAI Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
1999	J	`jnl`	Segmentation and Measurement of the Cortex from 3D MR Images Using Coupled Surfaces Propagation. IEEE Trans. Medical Imaging Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan
1998	A	`conf`	A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. MICCAI Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
1998	A*	`conf`	Boundary Finding with Correspondence Using Statistical Shape Models. CVPR Yongmei Wang, Lawrence H. Staib
1998	A	`conf`	Elastic Model Based Non-rigid Registration Incorporation Statistical Shape Information. MICCAI Yongmei Wang, Lawrence H. Staib
1998	A	`conf`	Integrated approaches to non-rigid registration in medical images. WACV Yongmei Wang, Lawrence H. Staib
1998	A	`conf`	Segmentation and Measurement of the Cortex from 3D MR Images. MICCAI Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan
1998	A*	`conf`	Volumetric Layer Segmentation Using Coupled Surfaces Propagation. CVPR Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan
1997	J	`jnl`	An Integrated Approach for Locating Neuroanatomical Structure from MRI. Int. J. Pattern Recognit. Artif. Intell. Lawrence H. Staib, Amit Chakraborty, James S. Duncan
1996	J	`jnl`	Deformable boundary finding in medical images by integrating gradient and region information. IEEE Trans. Medical Imaging Amit Chakraborty, Lawrence H. Staib, James S. Duncan
1996	J	`jnl`	Model-based deformable surface finding for medical images. IEEE Trans. Medical Imaging Lawrence H. Staib, James S. Duncan
1996	J	`jnl`	Parameterized Feasible Boundaries in Gradient Vector Fields. Comput. Vis. Image Underst. Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan
1995	—	`conf`	A Unified Framework to Assess Myocardial Function from 4D Images. CVRMed Pengcheng Shi, Glynn P. Robinson, Amit Chakraborty, Lawrence H. Staib, R. Todd Constable, Albert J. Sinusas, James S. Duncan
1995	B	`conf`	Cardiac SPECT restoration using MR-based support constraints. ICIP Lawrence H. Staib, Albert J. Sinusas
1994	A*	`conf`	Deformable boundary finding influenced by region homogeneity. CVPR Amit Chakraborty, Lawrence H. Staib, James S. Duncan
1993	—	`conf`	Parameterized Feasible Boundaries in Gradient Vector Fields. IPMI Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan
1992	J	`jnl`	Boundary Finding with Parametrically Deformable Models. IEEE Trans. Pattern Anal. Mach. Intell. Lawrence H. Staib, James S. Duncan
1992	—	`conf`	Deformable Fourier models for surface finding in 3-D images. VBC Lawrence H. Staib, James S. Duncan
1991	A*	`conf`	Measurement of non-rigid motion using contour shape descriptors. CVPR James S. Duncan, R. L. Owen, Lawrence H. Staib, P. Anandan
1989	A*	`conf`	Parametrically deformable contour models. CVPR Lawrence H. Staib, James S. Duncan