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


Jul 20, 2021
Sungmin Hong, Razvan Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland

* 11 pages, 6 figures, 2 tables. Provisionally Accepted at DGM4MICCAI workshop in MICCAI 2021 

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STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning


Jun 30, 2021
Junshen Xu, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson


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


May 11, 2021
Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma


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Equivariant Filters for Efficient Tracking in 3D Imaging


Mar 18, 2021
Daniel Moyer, Esra Abaci Turk, P Ellen Grant, William M. Wells, Polina Golland


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Multimodal Representation Learning via Maximization of Local Mutual Information


Mar 08, 2021
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth Berkowitz, Steven Horng, Polina Golland, William M. Wells


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Harmonization and the Worst Scanner Syndrome


Jan 15, 2021
Daniel Moyer, Polina Golland

* Med-NeurIPS 2020 Workshop Paper 

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Bayesian Image Reconstruction using Deep Generative Models


Jan 04, 2021
Razvan V Marinescu, Daniel Moyer, Polina Golland

* 18 pages, 14 figures, 4 tables 

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


Dec 24, 2020
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl


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PEP: Parameter Ensembling by Perturbation


Oct 24, 2020
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III

* NeurIPS 2020 

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Predictive Modeling of Anatomy with Genetic and Clinical Data


Oct 09, 2020
Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland

* MICCAI 2015. Keywords: Neuroimaging, Anatomical prediction, Synthesis, Simulation, Genetics, Generative model, Linear mixed effects, Kernel Machines 

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DEMI: Discriminative Estimator of Mutual Information


Oct 05, 2020
Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells

* Under review as a conference paper at ICLR 2021 

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


Aug 22, 2020
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth Berkowitz, Steven Horng, Peter Szolovits, Polina Golland

* The two first authors contributed equally. To be published in the proceedings of MICCAI 2020 

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Deep Learning to Quantify Pulmonary Edema in Chest Radiographs


Aug 13, 2020
Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J Berkowitz

* The two first authors contributed equally 

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Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy


Jul 16, 2020
Molin Zhang, Junshen Xu, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson

* 10 pages, 3 figures, MICCAI 2020 

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Joint Frequency- and Image-Space Learning for Fourier Imaging


Jul 02, 2020
Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland

* 14 pages, 15 figures, image reconstruction, motion correction, denoising, magnetic resonance imaging, deep learning 

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Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency


Jun 23, 2020
Junshen Xu, Sayeri Lala, Borjan Gagoski, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson


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A New Age of Computing and the Brain


Apr 27, 2020
Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein

* A Computing Community Consortium (CCC) workshop report, 24 pages 

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


Jul 17, 2019
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland

* MICCAI 2019, the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, in Shenzhen, China 
* Supplementary material: https://www.youtube.com/watch?v=gPoHP_iFQIA 

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


Jul 10, 2019
Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson

* MICCAI 2019 

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Unsupervised deep learning for Bayesian brain MRI segmentation


Apr 25, 2019
Adrian V. Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias


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


Apr 10, 2019
Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth Berkowitz, Sandeep Dalal, William Wells, Steven Horng, Polina Golland


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Placental Flattening via Volumetric Parameterization


Mar 14, 2019
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland

* Corrected author affiliations; our code is available at https://github.com/mabulnaga/placenta-flattening 

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Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases


Mar 11, 2019
Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki

* 12 pages 

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Temporal Registration in Application to In-utero MRI Time Series


Mar 06, 2019
Ruizhi Liao, Esra A. Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, P. Ellen Grant, Polina Golland

* arXiv admin note: text overlap with arXiv:1608.03907 

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


Sep 11, 2018
Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi H. Moghari, Polina Golland

* Presented at the Deep Learning in Medical Image Analysis Workshop, MICCAI 2018 

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Medical Image Imputation from Image Collections


Aug 17, 2018
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

* Accepted at IEEE Transactions on Medical Imaging (\c{opyright} 2018 IEEE) 

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Keypoint Transfer for Fast Whole-Body Segmentation


Jun 22, 2018
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland

* Accepted for publication at IEEE Transactions on Medical Imaging 

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On the Ambiguity of Registration Uncertainty


Mar 20, 2018
Jie Luo, Sarah Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matt Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra Golby, Masashi Sugiyama, William M. Wells III

* arXiv admin note: text overlap with arXiv:1704.08121 

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