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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2023
[j45]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:
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage 274: 120129 (2023)- [j44]Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. IEEE Trans. Medical Imaging 42(6): 1707-1719 (2023) - [j43]S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon:
Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary. ACM Trans. Graph. 42(3): 25:1-25:20 (2023) - [c110]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. IPMI 2023: 457-470 - [i54]Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. CoRR abs/2301.10365 (2023) - [i53]Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Sample-Specific Debiasing for Better Image-Text Models. CoRR abs/2304.13181 (2023) - [i52]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:
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI. CoRR abs/2305.03413 (2023) - [i51]Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland:
AnyStar: Domain randomized universal star-convex 3D instance segmentation. CoRR abs/2307.07044 (2023) - [i50]Neerav Karani, Neel Dey, Polina Golland:
Boundary-weighted logit consistency improves calibration of segmentation networks. CoRR abs/2307.08163 (2023) - [i49]Clinton J. Wang, Polina Golland:
Interpolating between Images with Diffusion Models. CoRR abs/2307.12560 (2023) - 2022
- [j42]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. Medical Image Anal. 80: 102469 (2022) - [j41]Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell 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:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [j40]S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. IEEE Trans. Medical Imaging 41(4): 925-936 (2022) - [c109]S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Automatic Segmentation of the Placenta in BOLD MRI Time Series. PIPPI@MICCAI 2022: 1-12 - [c108]Vivek Gopalakrishnan, Polina Golland:
Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CLIP@MICCAI 2022: 1-11 - [c107]Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson:
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. MICCAI (6) 2022: 3-13 - [c106]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI 2022: 22-31 - [i48]S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon:
Symmetric Volume Maps. CoRR abs/2202.02568 (2022) - [i47]Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias:
SUD: Supervision by Denoising for Medical Image Segmentation. CoRR abs/2202.02952 (2022) - [i46]Clinton J. Wang, Polina Golland:
Deep Learning on Implicit Neural Datasets. CoRR abs/2206.01178 (2022) - [i45]Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson:
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. CoRR abs/2206.10802 (2022) - [i44]S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Automatic Segmentation of the Placenta in BOLD MRI Time Series. CoRR abs/2208.02895 (2022) - [i43]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR abs/2208.03218 (2022) - [i42]Vivek Gopalakrishnan, Polina Golland:
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CoRR abs/2208.12737 (2022) - [i41]Deborah Pereg, Martin Villiger, Brett E. Bouma, Polina Golland:
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets. CoRR abs/2209.14267 (2022) - [i40]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. CoRR abs/2212.05561 (2022) - 2021
- [j39]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage 237: 118206 (2021) - [c105]Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland:
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. DGM4MICCAI/DALI@MICCAI 2021: 24-34 - [c104]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. MICCAI (4) 2021: 193-202 - [c103]Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning. MICCAI (7) 2021: 197-206 - [c102]Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) 2021: 273-283 - [c101]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS 2021: 168-180 - [i39]Daniel Moyer, Polina Golland:
Harmonization and the Worst Scanner Syndrome. CoRR abs/2101.06255 (2021) - [i38]Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR abs/2103.04537 (2021) - [i37]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR abs/2103.10255 (2021) - [i36]Vedvayas Mallela, Polina Golland, Razvan V. Marinescu:
BrainPainter v2: Mouse Brain Visualization Software. CoRR abs/2103.14696 (2021) - [i35]Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma:
Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Terms. CoRR abs/2105.05137 (2021) - [i34]Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. CoRR abs/2106.12407 (2021) - [i33]Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland:
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. CoRR abs/2107.09700 (2021) - [i32]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. CoRR abs/2111.07048 (2021) - [i31]S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. CoRR abs/2111.07900 (2021) - [i30]Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost:
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. CoRR abs/2112.06693 (2021) - 2020
- [j38]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [c100]Mohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma:
A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology. CVPR Workshops 2020: 4262-4271 - [c99]Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network. ASMUS/PIPPI@MICCAI 2020: 201-210 - [c98]Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency. MICCAI (6) 2020: 386-395 - [c97]Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy. MICCAI (6) 2020: 396-405 - [c96]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) 2020: 529-539 - [c95]Clinton J. Wang, Natalia S. Rost, Polina Golland:
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) 2020: 749-759 - [c94]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. NeurIPS 2020 - [i29]Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein:
A New Age of Computing and the Brain. CoRR abs/2004.12926 (2020) - [i28]Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency. CoRR abs/2006.12704 (2020) - [i27]Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland:
Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR abs/2007.01441 (2020) - [i26]Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy. CoRR abs/2007.08146 (2020) - [i25]Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz:
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR abs/2008.05975 (2020) - [i24]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR abs/2008.09884 (2020) - [i23]Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III:
DEMI: Discriminative Estimator of Mutual Information. CoRR abs/2010.01766 (2020) - [i22]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR abs/2010.04757 (2020) - [i21]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. CoRR abs/2010.12721 (2020) - [i20]Razvan V. Marinescu, Daniel Moyer, Polina Golland:
Bayesian Image Reconstruction using Deep Generative Models. CoRR abs/2012.04567 (2020) - [i19]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. CoRR abs/2012.13340 (2020)
2010 – 2019
- 2019
- [j37]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:
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 202 (2019) - [j36]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38(2): 504-514 (2019) - [c93]Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki:
Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. IPMI 2019: 767-779 - [c92]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:
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 2019: 1-10 - [c91]Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. MICCAI (4) 2019: 39-47 - [c90]Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. MICCAI (4) 2019: 93-101 - [c89]Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland:
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. MBIA/MFCA@MICCAI 2019: 112-120 - [c88]Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias:
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) 2019: 356-365 - [c87]Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson:
Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network. MICCAI (4) 2019: 403-410 - [c86]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:
Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 2019: 860-868 - [i18]Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland:
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR abs/1902.10785 (2019) - [i17]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland:
Temporal Registration in Application to In-utero MRI Time Series. CoRR abs/1903.02959 (2019) - [i16]Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki:
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases. CoRR abs/1903.04352 (2019) - [i15]Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. CoRR abs/1903.05044 (2019) - [i14]Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias:
Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR abs/1904.11319 (2019) - [i13]Razvan V. Marinescu, Daniel C. Alexander, Polina Golland:
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. CoRR abs/1905.08627 (2019) - [i12]Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson:
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network. CoRR abs/1907.04500 (2019) - [i11]Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. CoRR abs/1907.07783 (2019) - 2018
- [j35]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:
Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1525-1538 (2018) - [j34]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:
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1871-1880 (2018) - [c85]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:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 2018: 30-38 - [c84]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:
Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 165-171 - [c83]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. DLMIA/ML-CDS@MICCAI 2018: 334-342 - [c82]Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang:
Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) 2018: 880-888 - [i10]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:
On the Ambiguity of Registration Uncertainty. CoRR abs/1803.05266 (2018) - [i9]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:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR abs/1803.07682 (2018) - [i8]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR abs/1806.08723 (2018) - [i7]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation from Image Collections. CoRR abs/1808.05732 (2018) - [i6]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. CoRR abs/1809.04182 (2018) - 2017
- [j33]Miaomiao Zhang, William M. Wells III, Polina Golland:
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. 41: 55-62 (2017) - [j32]Christian Wachinger, Matthew S. Brennan, Gregory C. Sharp, Polina Golland:
Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans. Biomed. Eng. 64(7): 1492-1502 (2017) - [c81]Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland:
Frequency Diffeomorphisms for Efficient Image Registration. IPMI 2017: 559-570 - [c80]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Population Based Image Imputation. IPMI 2017: 659-671 - [c79]Yi Hong, Polina Golland, Miaomiao Zhang:
Fast Geodesic Regression for Population-Based Image Analysis. MICCAI (1) 2017: 317-325 - 2016
- [j31]Miaomiao Zhang, Polina Golland:
Statistical shape analysis: From landmarks to diffeomorphisms. Medical Image Anal. 33: 155-158 (2016) - [j30]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:
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35(4): 933-946 (2016) - [c78]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland:
Temporal Registration in In-Utero Volumetric MRI Time Series. MICCAI (3) 2016: 54-62 - [c77]Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland:
Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI 2016: 60-67 - [c76]Miaomiao Zhang, William M. Wells III, Polina Golland:
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) 2016: 166-173 - [c75]Polina Binder, Nematollah Kayhan Batmanghelich, Raúl San José Estépar, Polina Golland:
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort. MLMI@MICCAI 2016: 180-187 - [i5]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland:
Temporal Registration in In-Utero Volumetric MRI Time Series. CoRR abs/1608.03907 (2016) - 2015
- [j29]Christian Barillot, Polina Golland, Nobuhiko Hata, Joachim Hornegger, Robert D. Howe:
MEDIA special issue on MICCAI 2014. Medical Image Anal. 25(1): 1 (2015) - [j28]Christian Wachinger, Polina Golland, William S. Kremen, Bruce Fischl, Martin Reuter:
BrainPrint: A discriminative characterization of brain morphology. NeuroImage 109: 232-248 (2015) - [j27]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:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c74]Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland:
Generative Method to Discover Genetically Driven Image Biomarkers. IPMI 2015: 30-42 - [c73]