Polina Golland

According to our database, Polina Golland authored at least 191 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Diversity Measurement and Subset Selection for Instruction Tuning Datasets.

Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda

CoRR, 2024

AnyStar: Domain randomized universal star-convex 3D instance segmentation.

Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Spatial-Intensity Transforms for Medical Image-to-Image Translation.

Clinton J. Wang, Natalia S. Rost, Polina Golland

IEEE Trans. Medical Imaging, November, 2023

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.

Henry F. J. Tregidgo, Sonja Soskic, Juri Althonayan, Chiara Maffei, Koen Van Leemput, Polina Golland, Ricardo Insausti, Garikoitz Lerma-Usabiaga, César Caballero-Gaudes, Pedro M. Paz-Alonso, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias

NeuroImage, July, 2023

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI.

Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

IEEE Trans. Medical Imaging, June, 2023

Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary.

S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon

ACM Trans. Graph., 2023

SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.

Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland

CoRR, 2023

Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering.

Vivek Gopalakrishnan, Neel Dey, Polina Golland

CoRR, 2023

Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.

S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

CoRR, 2023

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI.

Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias

CoRR, 2023

Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series.

Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, Patricia Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey

CoRR, 2023

Bidirectional Captioning for Clinically Accurate and Interpretable Models.

Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland

CoRR, 2023

Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation.

Dominik Hollidt, Clinton J. Wang, Polina Golland, Marc Pollefeys

CoRR, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.

Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

CoRR, 2023

Interpolating between Images with Diffusion Models.

Clinton J. Wang, Polina Golland

CoRR, 2023

Sample-Specific Debiasing for Better Image-Text Models.

Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland

Proceedings of the Machine Learning for Healthcare Conference, 2023

Data Consistent Deep Rigid MRI Motion Correction.

Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland

Proceedings of the Medical Imaging with Deep Learning, 2023

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.

Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.

Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.

Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika Shimona D'Souza, Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson, Polina Golland, Tanveer F. Syeda-Mahmood

Proceedings of the Applications of Medical Artificial Intelligence, 2023

Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks.

Neerav Karani, Neel Dey, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Using Multiple Instance Learning to Build Multimodal Representations.

Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Volumetric Parameterization of the Placenta to a Flattened Template.

S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland

IEEE Trans. Medical Imaging, 2022

How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub

Neuroinformatics, 2022

Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease.

Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland

Medical Image Anal., 2022

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets.

Deborah Pereg, Martin Villiger, Brett E. Bouma, Polina Golland

CoRR, 2022

Deep Learning on Implicit Neural Datasets.

Clinton J. Wang, Polina Golland

CoRR, 2022

SUD: Supervision by Denoising for Medical Image Segmentation.

Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias

CoRR, 2022

Symmetric Volume Maps.

S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon

CoRR, 2022

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.

Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

RadTex: Learning Efficient Radiograph Representations from Text Reports.

Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging.

Vivek Gopalakrishnan, Polina Golland

Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022

Automatic Segmentation of the Placenta in BOLD MRI Time Series.

S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.

Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl

NeuroImage, 2021

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels.

Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost

CoRR, 2021

Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Terms.

Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma

CoRR, 2021

BrainPainter v2: Mouse Brain Visualization Software.

Vedvayas Mallela, Polina Golland, Razvan V. Marinescu

CoRR, 2021

Harmonization and the Worst Scanner Syndrome.

Daniel Moyer, Polina Golland

CoRR, 2021

Image Classification with Consistent Supporting Evidence.

Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland

Proceedings of the Machine Learning for Health, 2021

STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.

Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Equivariant Filters for Efficient Tracking in 3D Imaging.

Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multimodal Representation Learning via Maximization of Local Mutual Information.

Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images.

Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020

Keypoint Transfer for Fast Whole-Body Segmentation.

Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland

IEEE Trans. Medical Imaging, 2020

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.

Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl

CoRR, 2020

Bayesian Image Reconstruction using Deep Generative Models.

Razvan V. Marinescu, Daniel Moyer, Polina Golland

CoRR, 2020

DEMI: Discriminative Estimator of Mutual Information.

Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III

CoRR, 2020

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs.

Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz

CoRR, 2020

Joint Frequency- and Image-Space Learning for Fourier Imaging.

Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland

CoRR, 2020

A New Age of Computing and the Brain.

Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein

CoRR, 2020

PEP: Parameter Ensembling by Perturbation.

Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy.

Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network.

Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency.

Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.

Clinton J. Wang, Natalia S. Rost, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment.

Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology.

Mohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Medical Image Imputation From Image Collections.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

IEEE Trans. Medical Imaging, 2019

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data.

Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou

NeuroImage, 2019

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.

Razvan V. Marinescu, Daniel C. Alexander, Polina Golland

CoRR, 2019

Temporal Registration in Application to In-utero MRI Time Series.

Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland

CoRR, 2019

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images.

Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland

CoRR, 2019

Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.

Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.

Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Disease Knowledge Transfer Across Neurodegenerative Diseases.

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes.

Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.

Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation.

Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Placental Flattening via Volumetric Parameterization.

Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases.

Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki

Proceedings of the Information Processing in Medical Imaging, 2019

2018

On the Ambiguity of Registration Uncertainty.

Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

CoRR, 2018

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.

Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III

Int. J. Comput. Assist. Radiol. Surg., 2018

Using the variogram for vector outlier screening: application to feature-based image registration.

Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Int. J. Comput. Assist. Radiol. Surg., 2018

Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification.

Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease.

Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery.

Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou

Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation.

Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.

Christian Wachinger, Matthew S. Brennan, Gregory C. Sharp, Polina Golland

IEEE Trans. Biomed. Eng., 2017

Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms.

Miaomiao Zhang, William M. Wells III, Polina Golland

Medical Image Anal., 2017

Fast Geodesic Regression for Population-Based Image Analysis.

Yi Hong, Polina Golland, Miaomiao Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Frequency Diffeomorphisms for Efficient Image Registration.

Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

Population Based Image Imputation.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

2016

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.

Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gábor Székely, Nicholas Ayache, Polina Golland

IEEE Trans. Medical Imaging, 2016

Statistical shape analysis: From landmarks to diffeomorphisms.

Miaomiao Zhang, Polina Golland

Medical Image Anal., 2016

Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations.

Miaomiao Zhang, William M. Wells III, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Temporal Registration in In-Utero Volumetric MRI Time Series.

Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Patch-Based Discrete Registration of Clinical Brain Images.

Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort.

Polina Binder, Nematollah Kayhan Batmanghelich, Raúl San José Estépar, Polina Golland

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput

IEEE Trans. Medical Imaging, 2015

BrainPrint: A discriminative characterization of brain morphology.

Christian Wachinger, Polina Golland, William S. Kremen, Bruce Fischl, Martin Reuter

NeuroImage, 2015

MEDIA special issue on MICCAI 2014.

Christian Barillot, Polina Golland, Nobuhiko Hata, Joachim Hornegger, Robert D. Howe

Medical Image Anal., 2015

Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning.

Christian Wachinger, Polina Golland

CoRR, 2015

Interactive Whole-Heart Segmentation in Congenital Heart Disease.

Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion.

Georg Langs, Polina Golland, Satrajit S. Ghosh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Predictive Modeling of Anatomy with Genetic and Clinical Data.

Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

A Latent Source Model for Patch-Based Image Segmentation.

George H. Chen, Devavrat Shah, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Keypoint Transfer Segmentation.

Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2015

Sampling from Determinantal Point Processes for Scalable Manifold Learning.

Christian Wachinger, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2015

Generative Method to Discover Genetically Driven Image Biomarkers.

Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013.

Alexandra Woolgar, Polina Golland, Stefan Bode

NeuroImage, 2014

Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients.

Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland

NeuroImage, 2014

Diversifying Sparsity Using Variational Determinantal Point Processes.

Nematollah Kayhan Batmanghelich, Gerald T. Quon, Alex Kulesza, Manolis Kellis, Polina Golland, Luke Bornn

CoRR, 2014

Gaussian Process Interpolation for Uncertainty Estimation in Image Registration.

Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

BrainPrint : Identifying Subjects by Their Brain.

Christian Wachinger, Polina Golland, Martin Reuter

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Atlas-Based Under-Segmentation.

Christian Wachinger, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors.

Adrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, Kaitlin M. Fitzpatrick, Allison Kanakis, Karen L. Furie, Jonathan Rosand, Ona Wu, Mert R. Sabuncu, Natalia S. Rost, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.

Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland

Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013

From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder.

Archana Venkataraman, Marek Kubicki, Polina Golland

IEEE Trans. Medical Imaging, 2013

Editorial for the MEDIA special issue on MICCAI 2012.

Hervé Delingette, Polina Golland, Kensaku Mori

Medical Image Anal., 2013

Contour-Driven Regression for Label Inference in Atlas-Based Segmentation.

Christian Wachinger, Gregory C. Sharp, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Detecting Epileptic Regions Based on Global Brain Connectivity Patterns.

Andrew Sweet, Archana Venkataraman, Steven M. Stufflebeam, Hesheng Liu, Naoro Tanaka, Joseph R. Madsen, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke.

Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Sparse Projections of Medical Images onto Manifolds.

George H. Chen, Christian Wachinger, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2013

Joint Modeling of Imaging and Genetics.

Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Joint Modeling of Anatomical and Functional Connectivity for Population Studies.

Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland

IEEE Trans. Medical Imaging, 2012

Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data.

Danial Lashkari, Ramesh Sridharan, Edward Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland

NeuroImage, 2012

Spectral Label Fusion.

Christian Wachinger, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

From Brain Connectivity Models to Identifying Foci of a Neurological Disorder.

Archana Venkataraman, Marek Kubicki, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Detecting stable distributed patterns of brain activation using Gini contrast.

Georg Langs, Bjoern H. Menze, Danial Lashkari, Polina Golland

NeuroImage, 2011

Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain.

George H. Chen, Evelina Fedorenko, Nancy Kanwisher, Polina Golland

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters.

Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A Generative Approach for Image-Based Modeling of Tumor Growth.

Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2011

Learning an Atlas of a Cognitive Process in Its Functional Geometry.

Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2011

Modeling anatomical heterogeneity in populations.

Polina Golland, Mert R. Sabuncu

Proceedings of the IEEE International Conference on Acoustics, 2011

Ranking of stopping criteria for log domain diffeomorphic demons application in clinical radiation therapy.

Marta Peroni, Polina Golland, Gregory C. Sharp, Guido Baroni

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.

B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne J. Holt, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl

IEEE Trans. Medical Imaging, 2010

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration.

B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland

IEEE Trans. Medical Imaging, 2010

A Generative Model for Image Segmentation Based on Label Fusion.

Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland

IEEE Trans. Medical Imaging, 2010

Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation.

Wanmei Ou, Aapo Nummenmaa, Jyrki Ahveninen, John W. Belliveau, Matti S. Hämäläinen, Polina Golland

NeuroImage, 2010

Discovering structure in the space of fMRI selectivity profiles.

Danial Lashkari, Ed Vul, Nancy Kanwisher, Polina Golland

NeuroImage, 2010

Segmentation of image ensembles via latent atlases.

Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland

Medical Image Anal., 2010

Combining spatial priors and anatomical information for fMRI detection.

Wanmei Ou, William M. Wells III, Polina Golland

Medical Image Anal., 2010

Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations.

Danial Lashkari, Ramesh Sridharan, Polina Golland

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Functional Geometry Alignment and Localization of Brain Areas.

Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Joint Generative Model for fMRI/DWI and Its Application to Population Studies.

Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Morphology-Guided Graph Search for Untangling Objects: <i>C. elegans</i> Analysis.

Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images.

Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation.

Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland

Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

Resolving clustered worms via probabilistic shape models.

Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Robust feature selection in resting-state fMRI connectivity based on population studies.

Archana Venkataraman, Marek Kubicki, Carl-Fredrik Westin, Polina Golland

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Nonparametric hierarchical Bayesian model for functional brain parcellation.

Danial Lashkari, Ramesh Sridharan, Ed Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential.

B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard, Jean-Marc Peyrat, Xavier Pennec, Polina Golland, Nicholas Ayache, Olivier Clatz

IEEE Trans. Medical Imaging, 2009

Image-Driven Population Analysis Through Mixture Modeling.

Mert R. Sabuncu, Serdar K. Balci, Martha Elizabeth Shenton, Polina Golland

IEEE Trans. Medical Imaging, 2009

A distributed spatio-temporal EEG/MEG inverse solver.

Wanmei Ou, Matti S. Hämäläinen, Polina Golland

NeuroImage, 2009

Task-Optimal Registration Cost Functions.

B. T. Thomas Yeo, Mert R. Sabuncu, Polina Golland, Bruce Fischl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Asymmetric Image-Template Registration.

Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Supervised Nonparametric Image Parcellation.

Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Joint Segmentation of Image Ensembles via Latent Atlases.

Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Modeling Adaptation Effects in fMRI Analysis.

Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Golland, Matti S. Hämäläinen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation.

Wanmei Ou, Aapo Nummenmaa, Matti S. Hämäläinen, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2009

Exploratory fMRI Analysis without Spatial Normalization.

Danial Lashkari, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2009

Exploring functional connectivity in fMRI via clustering.

Archana Venkataraman, Koene R. A. Van Dijk, Randy L. Buckner, Polina Golland

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

On the Construction of Invertible Filter Banks on the 2-Sphere.

B. T. Thomas Yeo, Wanmei Ou, Polina Golland

IEEE Trans. Image Process., 2008

Effects of registration regularization and atlas sharpness on segmentation accuracy.

B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland

Medical Image Anal., 2008

CellProfiler Analyst: data exploration and analysis software for complex image-based screens.

Thouis R. Jones, In Han Kang, Douglas B. Wheeler, Robert A. Lindquist, Adam Papallo, David M. Sabatini, Polina Golland, Anne E. Carpenter

BMC Bioinform., 2008

Shape Analysis with Overcomplete Spherical Wavelets.

B. T. Thomas Yeo, Peng Yu, Patricia Ellen Grant, Bruce Fischl, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Spherical Demons: Fast Surface Registration.

B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Discovering Modes of an Image Population through Mixture Modeling.

Mert R. Sabuncu, Serdar K. Balci, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI.

Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham C. Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Discovering Structure in the Space of Activation Profiles in fMRI.

Danial Lashkari, Ed Vul, Nancy Kanwisher, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Analysis of Surfaces Using Constrained Regression Models.

Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

DTI registration with exact finite-strain differential.

B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard, Xavier Pennec, Polina Golland, Nicholas Ayache, Olivier Clatz

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Spatial patterns and functional profiles for discovering structure in fMRI data.

Polina Golland, Danial Lashkari, Archana Venkataraman

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Cortical Surface Shape Analysis Based on Spherical Wavelets.

Peng Yu, Patricia Ellen Grant, Yuan Qi, Xiao Han, Florent Ségonne, Rudolph Pienaar, Evelina Busa, Jenni Pacheco, Nikos Makris, Randy L. Buckner, Polina Golland, Bruce Fischl

IEEE Trans. Medical Imaging, 2007

Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis.

Daniel Rueckert, Polina Golland

IEEE Trans. Medical Imaging, 2007

Convex Clustering with Exemplar-Based Models.

Danial Lashkari, Polina Golland

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Sources of Variability in MEG.

Wanmei Ou, Polina Golland, Matti S. Hämäläinen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data.

Polina Golland, Yulia Golland, Rafael Malach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Cortical Folding Development Study based on Over-Complete Spherical Wavelets.

Peng Yu, B. T. Thomas Yeo, Patricia Ellen Grant, Bruce Fischl, Polina Golland

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

What Data to Co-register for Computing Atlases.

B. T. Thomas Yeo, Mert R. Sabuncu, Hartmut Mohlberg, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Shape-based Discrimination and Classification of Cortical Surfaces.

Peng Yu, Xiao Han, Florent Ségonne, Arthur K. Liu, Russell A. Poldrack, Polina Golland, Bruce Fischl

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Invertible Filter Banks on the 2-Sphere.

B. T. Thomas Yeo, Wanmei Ou, Polina Golland

Proceedings of the International Conference on Image Processing, 2006

Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation.

Peng Yu, Xiao Han, Florent Ségonne, Rudolph Pienaar, Randy L. Buckner, Polina Golland, Patricia Ellen Grant, Bruce Fischl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005

Detection and analysis of statistical differences in anatomical shape.

Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis

Medical Image Anal., 2005

From Spatial Regularization to Anatomical Priors in fMRI Analysis.

Wanmei Ou, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2005

Voronoi-Based Segmentation of Cells on Image Manifolds.

Thouis R. Jones, Anne E. Carpenter, Polina Golland

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge.

W. Eric L. Grimson, Polina Golland

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Permutation Tests for Classification.

Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2003

Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies.

Polina Golland, Bruce Fischl

Proceedings of the Information Processing in Medical Imaging, 2003

2002

Performance Issues in Shape Classification.

Samson J. Timoner, Polina Golland, Ron Kikinis, Martha Elizabeth Shenton, W. Eric L. Grimson, William M. Wells III

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Discriminative Analysis for Image-Based Studies.

Polina Golland, Bruce Fischl, Mona Spiridon, Nancy Kanwisher, Randy L. Buckner, Martha Elizabeth Shenton, Ron Kikinis, Anders M. Dale, W. Eric L. Grimson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

2001

Statistical shape analysis of anatomical structures.

Polina Golland

PhD thesis, 2001

Discriminative Direction for Kernel Classifiers.

Polina Golland

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Deformation Analysis for Shape Based Classification.

Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis

Proceedings of the Information Processing in Medical Imaging, 2001

2000

Small Sample Size Learning for Shape Analysis of Anatomical Structures.

Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Fixed Topology Skeletons.

Polina Golland, W. Eric L. Grimson

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

Stereo Matching with Transparency and Matting.

Richard Szeliski, Polina Golland

Int. J. Comput. Vis., 1999

Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study.

Polina Golland, W. Eric L. Grimson, Ron Kikinis

Proceedings of the Information Processing in Medical Imaging, 1999

1998

AnatomyBrowser: A Framework for Integration of Medical Information.

Polina Golland, Ron Kikinis, Christopher Umans, Michael Halle, Martha Elizabeth Shenton, Jens A. Richolt

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

1997

Motion from Color.

Polina Golland, Alfred M. Bruckstein

Comput. Vis. Image Underst., 1997

1996

Why R.G.B.? Or How to Design Color Displays for Martians.

Polina Golland, Alfred M. Bruckstein

CVGIP Graph. Model. Image Process., 1996