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2020 – today
- 2024
[j45]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: 103190 (2024)- [j44]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): 1084-1091 (2024) - [j43]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): 2010-2020 (2024) - [c73]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. CVPR 2024: 26140-26150 - [c72]Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alex Wong, James S. Duncan:
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration. ECCV (38) 2024: 76-92 - [c71]Tal Ze'evi, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey:
Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning. ISBI 2024: 1-5 - [c70]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 Framework for Unsupervised Registration. MICCAI (2) 2024: 651-661 - [i19]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 abs/2402.09567 (2024) - [i18]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 abs/2403.07241 (2024) - [i17]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 abs/2406.12065 (2024) - 2023
- [c69]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: 641-653 - [c68]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: 1-5 - [c67]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: 79-88 - [c66]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: 194-205 - [c65]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: 561-571 - [c64]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 - [i16]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR abs/2302.01735 (2023) - [i15]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 abs/2304.02689 (2023) - [i14]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan:
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. CoRR abs/2304.03209 (2023) - [i13]Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan:
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation. CoRR abs/2308.15564 (2023) - [i12]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 abs/2312.00836 (2023) - [i11]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 abs/2312.00837 (2023) - 2022
- [j42]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): 2228-2237 (2022) - [c63]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: 3-16 - [c62]Jiazhen Zhang, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey:
Atlas-Based Semantic Segmentation of Prostate Zones. MICCAI (5) 2022: 570-579 - [c61]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: 639-652 - [c60]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 - [c59]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: 13-25 - [i10]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 abs/2201.10737 (2022) - [i9]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 abs/2206.01369 (2022) - [i8]Chenyu You, Weicheng Dai, Lawrence H. Staib, James S. Duncan:
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. CoRR abs/2206.02307 (2022) - [i7]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 abs/2209.00726 (2022) - [i6]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 abs/2209.13476 (2022) - 2021
- [j41]Lawrence H. Staib, Pengcheng Shi:
Special issue on MICCAI 2019. Medical Image Anal. 70: 102033 (2021) - [j40]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: 102233 (2021) - [j39]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): 2233-2245 (2021) - [i5]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR abs/2105.07059 (2021) - [i4]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 abs/2108.06227 (2021) - 2020
- [j38]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: 101765 (2020) - [i3]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 abs/2001.05647 (2020)
2010 – 2019
- 2019
- [j37]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): 596-607 (2019) - [c58]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: 348-351 - [c57]Hao-Yu Yang, Lawrence H. Staib:
Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling. ISBI 2019: 1247-1250 - [e6]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11764, Springer 2019, ISBN 978-3-030-32238-0 [contents] - [e5]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11765, Springer 2019, ISBN 978-3-030-32244-1 [contents] - [e4]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11766, Springer 2019, ISBN 978-3-030-32247-2 [contents] - [e3]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11767, Springer 2019, ISBN 978-3-030-32250-2 [contents] - [e2]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V. Lecture Notes in Computer Science 11768, Springer 2019, ISBN 978-3-030-32253-3 [contents] - [e1]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI. Lecture Notes in Computer Science 11769, Springer 2019, ISBN 978-3-030-32225-0 [contents] - 2018
- [c56]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: 1252-1255 - [i2]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 abs/1805.09799 (2018) - [i1]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 abs/1807.04807 (2018) - 2017
- [j36]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: 29-43 (2017) - [c55]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: 81-88 - 2016
- [c54]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: 157-166 - 2015
- [j35]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): 21 (2015) - [j34]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): 690 (2015) - [j33]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): 1522-1532 (2015) - [c53]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: 662-674 - [c52]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: 1592-1595 - 2014
- [j32]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): 253-271 (2014) - [j31]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): 1275-1289 (2014) - 2013
- [c51]John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris:
Fast nonrigid image registration using statistical deformation models learned from richly-annotated data. ISBI 2013: 580-583 - [c50]John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris:
Semi-supervised Learning of Nonrigid Deformations for Image Registration. MCV 2013: 13-23 - [c49]John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris:
Learning Nonrigid Deformations for Constrained Multi-modal Image Registration. MICCAI (3) 2013: 171-178 - 2012
- [j30]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): 217-230 (2012) - [j29]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): 1213-1227 (2012) - [j28]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): 1607-1619 (2012) - [c48]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: 305-312 - 2011
- [j27]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): 772-785 (2011) - [j26]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): 69-84 (2011) - [c47]Hon Pong Ho, Catherine G. Harwood, Lawrence H. Staib:
Fast parametrized volumetric DTI tract parcellation. ISBI 2011: 927-930 - [c46]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: 1869-1872 - [c45]Hon Pong Ho, Fei Wang, Xenophon Papademetris, Hilary P. Blumberg, Lawrence H. Staib:
Integrated Parcellation and Normalization Using DTI Fasciculography. MICCAI (2) 2011: 33-41 - [c44]Yifeng Jiang, Zhen W. Zhuang, Albert J. Sinusas, Lawrence H. Staib, Xenophon Papademetris:
Vessel Connectivity Using Murray's Hypothesis. MICCAI (3) 2011: 528-536 - 2010
- [j25]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): 85 (2010) - [j24]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): 322-338 (2010) - [c43]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: 133-138 - [c42]Alark Joshi, Alexander Papanastassiou, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris:
Light-sensitive visualization of multimodal data for neurosurgical applications. ISBI 2010: 884-887 - [c41]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: 53-60
2000 – 2009
- 2009
- [j23]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): 215-233 (2009) - [j22]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): 580-597 (2009) - [j21]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): 809-817 (2009) - [j20]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): 459-466 (2009) - [c40]Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib, Xenophon Papademetris:
Shape comparison using perturbing shape registration. CVPR 2009: 683-690 - [c39]Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Xenophon Papademetris, Lawrence H. Staib:
Improving the Reliability of Shape Comparison by Perturbation. ISBI 2009: 686-689 - [c38]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: 18-25 - 2008
- [j19]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): 589-607 (2008) - [j18]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): 1587-1594 (2008) - [c37]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: 1159-1162 - [c36]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: 246-254 - [c35]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: 280-288 - [c34]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: 780-788 - 2007
- [j17]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): 46-57 (2007) - [c33]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: 1-8 - 2006
- [c32]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: 490-493 - [c31]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: 896-899 - [c30]Lawrence H. Staib, Marcel Jackowski, Xenophon Papademetris:
Brain shape characterization from deformation. ISBI 2006: 1140-1143 - 2005
- [j16]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): 427-440 (2005) - [j15]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): 150-162 (2005) - [c29]Xenophon Papademetris, Pavel Shkarin, Lawrence H. Staib, Kevin L. Behar:
Regional Whole Body Fat Quantification in Mice. IPMI 2005: 369-380 - [c28]Marcel Jackowski, Xenophon Papademetris, Lawrence W. Dobrucki, Albert J. Sinusas, Lawrence H. Staib:
Characterizing Vascular Connectivity from microCT Images. MICCAI (2) 2005: 701-708 - [c27]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: 919-926 - 2004
- [j14]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): 940-948 (2004) - [c26]Jing Yang, Hemant D. Tagare, Lawrence H. Staib, James S. Duncan:
Segmentation of 3D Deformable Objects with Level Set Based Prior Models. ISBI 2004: 85-88 - [c25]Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson:
Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model. MICCAI (1) 2004: 78-86 - [c24]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: 663-670 - [c23]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: 736-744 - [c22]Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan:
Integrated Intensity and Point-Feature Nonrigid Registration. MICCAI (1) 2004: 763-770 - 2003
- [j13]A. Ardeshir Goshtasby, Lawrence H. Staib, Colin Studholme, Demetri Terzopoulos:
Nonrigid image registration: guest editors' introduction. Comput. Vis. Image Underst. 89(2-3): 109-113 (2003) - [j12]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): 252-271 (2003) - [j11]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. IEEE Trans. Medical Imaging 22(1): 29-49 (2003) - [j10]James S. Duncan, Lawrence H. Staib:
Image processing and analysis at ipag. IEEE Trans. Medical Imaging 22(12): 1505-1518 (2003) - [c21]Jing Yang, Lawrence H. Staib, James S. Duncan:
Neighbor-Constrained Segmentation with 3D Deformable Models. IPMI 2003: 198-209 - [c20]Yongmei Michelle Wang, Robert T. Schultz, R. Todd Constable, Lawrence H. Staib:
Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression. IPMI 2003: 647-659 - [c19]Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan:
Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis. MICCAI (2) 2003: 788-795 - 2002
- [c18]Lawrence H. Staib:
Prior shape models for boundary finding. ISBI 2002: 30-33 - [c17]Jing Yang, Lawrence H. Staib, James S. Duncan:
Statistical Neighbor Distance Influence in Active Contours. MICCAI (1) 2002: 588-595 - 2000
- [j9]Mark E. Mattie, Lawrence H. Staib, Eric Stratmann, Hemant D. Tagare, James S. Duncan, Perry L. Miller:
Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction. J. Am. Medical Informatics Assoc. 7(4): 404-415 (2000) - [j8]Yongmei Michelle Wang, Lawrence H. Staib:
Physical model-based non-rigid registration incorporating statistical shape information. Medical Image Anal. 4(1): 7-20 (2000) - [j7]Yongmei Wang, Lawrence H. Staib:
Boundary Finding with Prior Shape and Smoothness Models. IEEE Trans. Pattern Anal. Mach. Intell. 22(7): 738-743 (2000) - [c16]Yongmei Wang, Bradley S. Peterson, Lawrence H. Staib:
Shape-Based 3D Surface Correspondence Using Geodesics and Local Geometry. CVPR 2000: 2644-2651
1990 – 1999
- 1999
- [j6]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Segmentation and Measurement of the Cortex from 3D MR Images Using Coupled Surfaces Propagation. IEEE Trans. Medical Imaging 18(10): 927-937 (1999) - [c15]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, Hemant D. Tagare, Lawrence Win, James S. Duncan:
A New Approach to 3D Sulcal Ribbon Finding from MR Images. MICCAI 1999: 148-157 - [c14]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation. MICCAI 1999: 567-578 - 1998
- [c13]Yongmei Wang, Lawrence H. Staib:
Boundary Finding with Correspondence Using Statistical Shape Models. CVPR 1998: 338-345 - [c12]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Volumetric Layer Segmentation Using Coupled Surfaces Propagation. CVPR 1998: 708-715 - [c11]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Segmentation and Measurement of the Cortex from 3D MR Images. MICCAI 1998: 519-530 - [c10]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. MICCAI 1998: 1075-1086 - [c9]Yongmei Wang, Lawrence H. Staib:
Elastic Model Based Non-rigid Registration Incorporation Statistical Shape Information. MICCAI 1998: 1162-1173 - [c8]Yongmei Wang, Lawrence H. Staib:
Integrated approaches to non-rigid registration in medical images. WACV 1998: 102-108 - 1997
- [j5]Lawrence H. Staib, Amit Chakraborty, James S. Duncan:
An Integrated Approach for Locating Neuroanatomical Structure from MRI. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1247-1269 (1997) - 1996
- [j4]Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan:
Parameterized Feasible Boundaries in Gradient Vector Fields. Comput. Vis. Image Underst. 63(1): 135-144 (1996) - [j3]Lawrence H. Staib, James S. Duncan:
Model-based deformable surface finding for medical images. IEEE Trans. Medical Imaging 15(5): 720-731 (1996) - [j2]Amit Chakraborty, Lawrence H. Staib, James S. Duncan:
Deformable boundary finding in medical images by integrating gradient and region information. IEEE Trans. Medical Imaging 15(6): 859-870 (1996) - 1995
- [c7]Pengcheng Shi, Glynn P. Robinson, Amit Chakraborty, Lawrence H. Staib, R. Todd Constable, Albert J. Sinusas, James S. Duncan:
A Unified Framework to Assess Myocardial Function from 4D Images. CVRMed 1995: 327-337 - [c6]Lawrence H. Staib, Albert J. Sinusas:
Cardiac SPECT restoration using MR-based support constraints. ICIP 1995: 480-483 - 1994
- [c5]Amit Chakraborty, Lawrence H. Staib, James S. Duncan:
Deformable boundary finding influenced by region homogeneity. CVPR 1994: 624-627 - 1993
- [c4]Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan:
Parameterized Feasible Boundaries in Gradient Vector Fields. IPMI 1993: 48-61 - 1992
- [j1]Lawrence H. Staib, James S. Duncan:
Boundary Finding with Parametrically Deformable Models. IEEE Trans. Pattern Anal. Mach. Intell. 14(11): 1061-1075 (1992) - [c3]Lawrence H. Staib, James S. Duncan:
Deformable Fourier models for surface finding in 3-D images. VBC 1992 - 1991
- [c2]James S. Duncan, R. L. Owen, Lawrence H. Staib, P. Anandan:
Measurement of non-rigid motion using contour shape descriptors. CVPR 1991: 318-324
1980 – 1989
- 1989
- [c1]Lawrence H. Staib, James S. Duncan:
Parametrically deformable contour models. CVPR 1989: 98-103
Coauthor Index
[j43] [c73] [c72] [c70] [i18] [i17] [c69] [c67] [c66] [c65] [c64] [i16] [i15] [i14] [i13] [i12] [i11] [j42] [c63] [c61] [c60] [c59] [i10] [i9] [i8] [i7] [i6] [j40] [j39] [i5] [i4] [j38] [i3] [c56] [i2] [i1] [c55] [j35] [j34] [j32] [j31] [j29] [j28] [c48] [j27] [j25] [j24] [c43] [c41] [j21] [c37] [c36] [c34] [c33] [c32] [j14] [c26] [c23] [c22] [j11] [j10] [c21] [c19] [c17] [j9] [j6] [c15] [c14] [c12] [c11] [c10] [j5] [j4] [j3] [j2] [c7] [c5] [c4] [j1] [c3] [c2] [c1]
Xenophon Papademetris
aka: Xenios Papademetris
aka: Xenios Papademetris
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