Polina Golland

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 123

Top Venues

CoRR

MICCAI (3)

IPMI

IEEE Trans. Medical Imaging

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

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. WACV (2024)
Molin Zhang, Polina Golland, Patricia Ellen Grant, Elfar Adalsteinsson
FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model. CoRR (2024)
Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. CoRR (2024)
Clinton J. Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth
InterNeRF: Scaling Radiance Fields via Parameter Interpolation. CoRR (2024)
Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR (2024)
Clinton J. Wang, Polina Golland
Discretization Invariant Networks for Learning Maps between Neural Fields. Trans. Mach. Learn. Res. 2023 (2023)
S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. CoRR (2023)
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 Syeda-Mahmood
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI (2023)
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 (2023)
Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. CoRR (2023)
Neerav Karani, Neel Dey, Polina Golland
Boundary-weighted logit consistency improves calibration of segmentation networks. CoRR (2023)
Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, Patricia Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey
Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series. CoRR (2023)
Clinton J. Wang, Natalia S. Rost, Polina Golland
Spatial-Intensity Transforms for Medical Image-to-Image Translation. IEEE Trans. Medical Imaging 42 (11) (2023)
Clinton J. Wang, Polina Golland
Interpolating between Images with Diffusion Models. CoRR (2023)
Dominik Hollidt, Clinton J. Wang, Polina Golland, Marc Pollefeys
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation. CoRR (2023)
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) (2023)
Vivek Gopalakrishnan, Neel Dey, Polina Golland
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering. CoRR (2023)
Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR (2023)
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 (2023)
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 (2023)
Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. PIPPI@MICCAI (2023)
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. MICCAI (8) (2023)
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 (2023)
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 (2023)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. IPMI (2023)
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) (2023)
Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CoRR (2023)
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. MLHC (2023)
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. MIDL (2023)
Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland
SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images. CoRR (2023)
Neerav Karani, Neel Dey, Polina Golland
Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. MICCAI (3) (2023)
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)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. CoRR (2022)
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 (2022)
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
SUD: Supervision by Denoising for Medical Image Segmentation. CoRR (2022)
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)
Deborah Pereg, Martin Villiger, Brett E. Bouma, Polina Golland
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets. CoRR (2022)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR (2022)
Vivek Gopalakrishnan, Polina Golland
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CoRR (2022)
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 (2022)
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 (2022)
Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon 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) (2022)
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) (2022)
Vivek Gopalakrishnan, Polina Golland
Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CLIP@MICCAI (2022)
Clinton J. Wang, Polina Golland
Deep Learning on Implicit Neural Datasets. CoRR (2022)
S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon
Symmetric Volume Maps. CoRR (2022)
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)
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 (2021)
Daniel Moyer, Polina Golland
Harmonization and the Worst Scanner Syndrome. CoRR (2021)
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 (2021)
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)
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 (2021)
Vedvayas Mallela, Polina Golland, Razvan V. Marinescu
BrainPainter v2: Mouse Brain Visualization Software. CoRR (2021)
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 (2021)
Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR (2021)
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)
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 (2021)
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS (2021)
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)
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 (2021)
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
Image Classification with Consistent Supporting Evidence. CoRR (2021)
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)
Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. CoRR (2021)
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
PEP: Parameter Ensembling by Perturbation. CoRR (2020)
Geeticka Chauhan, Ruizhi Liao, William Wells, 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)
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)
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 (2020)
Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III
DEMI: Discriminative Estimator of Mutual Information. CoRR (2020)
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)
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)
Razvan V. Marinescu, Daniel Moyer, Polina Golland
Bayesian Image Reconstruction using Deep Generative Models. CoRR (2020)
Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR (2020)
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)
Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland
Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR (2020)
Geeticka Chauhan, Ruizhi Liao, William Wells, 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 (2020)
Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR (2020)
Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein
A New Age of Computing and the Brain. CoRR (2020)
Clinton J. Wang, Natalia S. Rost, Polina Golland
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) (2020)
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39 (2) (2020)
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William Wells
PEP: Parameter Ensembling by Perturbation. NeurIPS (2020)
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 (2020)
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 (2020)
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 (2019)
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)
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)
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)
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 (2019)
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) (2019)
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)
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)
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)
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)
Razvan V. Marinescu, Daniel C. Alexander, Polina Golland
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. CoRR (2019)
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)
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 (2019)
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 (2019)
Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William Wells, Steven Horng, Polina Golland
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR (2019)
Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
Placental Flattening via Volumetric Parameterization. MICCAI (4) (2019)
Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
Placental Flattening via Volumetric Parameterization. CoRR (2019)
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 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Polina Golland