Polina Golland

285 papers A* 11A 3B 1Misc 2Journal 132Unranked 112

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms. CoRR Yingcheng Liu, Athena Taymourtash, Yang Liu, Esra Abaci Turk, William M. Wells III, Leo Joskowicz, Patricia Ellen Grant, Polina Golland
2026	J	`jnl`	Fast Multi-Stack Slice-to-Volume Reconstruction via Multi-Scale Unrolled Optimization. CoRR Margherita Firenze, Sean I. Young, Clinton J. Wang, Hyuk Jin Yun, Elfar Adalsteinsson, Kiho Im, Patricia Ellen Grant, Polina Golland
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part I MICCAI (1) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part II MICCAI (2) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III MICCAI (3) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IV MICCAI (4) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IX MICCAI (9) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part V MICCAI (5) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VI MICCAI (6) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VII MICCAI (7) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VIII MICCAI (8) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part X MICCAI (10) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XI MICCAI (11) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XII MICCAI (12) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIII MICCAI (13) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIV MICCAI (14) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XV MICCAI (15) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XVI MICCAI (16) James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
2026	J	`jnl`	Volumetrically Consistent Implicit Atlas Learning via Neural Diffeomorphic Flow for Placenta MRI. CoRR Athena Taymourtash, S. Mazdak Abulnaga, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland
2025	A*	`conf`	Calibrating Expressions of Certainty. ICLR Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2025	J	`jnl`	Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning. CoRR Reuben Dorent, Polina Golland, William M. Wells III
2025	J	`jnl`	Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. NeuroImage Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi
2025	J	`jnl`	Equivariant symmetry-aware head pose estimation for fetal MRI. CoRR Ramya Muthukrishnan, Borjan A. Gagoski, Aryn Lee, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland, Benjamin Billot
2025	—	`conf`	Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose. MICCAI (11) Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Esra Abaci Turk, Benjamin Billot, Patricia Ellen Grant, Polina Golland
2025	J	`jnl`	Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose. CoRR Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Esra Abaci Turk, Benjamin Billot, Patricia Ellen Grant, Polina Golland
2025	A*	`conf`	Learning General-purpose Biomedical Volume Representations using Randomized Synthesis. ICLR Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Ellen Grant, Adrian V. Dalca, Polina Golland
2025	—	`conf`	Multi-stage CNN for Fast Registration of 3D Preoperative CTs to 2D Intraoperative X-Rays. COLAS@MICCAI Federica Facente, Benjamin Billot, Vivek Gopalakrishnan, Manasi Kattel, Wen Wei, Polina Golland, Hervé Delingette, Nicholas Ayache, Pierre Berthet-Rayne
2025	J	`jnl`	PolyPose: Localizing Deformable Anatomy in 3D from Sparse 2D X-ray Images using Polyrigid Transforms. CoRR Vivek Gopalakrishnan, Neel Dey, Polina Golland
2025	J	`jnl`	Rapid patient-specific neural networks for intraoperative X-ray to volume registration. CoRR Vivek Gopalakrishnan, Neel Dey, David Dimitris Chlorogiannis, Andrew Abumoussa, Anna M. Larson, Darren Orbach, Sarah F. Frisken, Polina Golland
2025	—	`conf`	Robust Fetal Pose Estimation Across Gestational Ages via Cross-Population Augmentation. MICCAI (7) Sebastian Diaz, Benjamin Billot, Neel Dey, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2025	J	`jnl`	Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation. CoRR Sebastian Diaz, Benjamin Billot, Neel Dey, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2025	—	`conf`	Spatial Regularisation for Improved Accuracy and Interpretability in Keypoint-Based Registration. MICCAI (14) Benjamin Billot, Ramya Muthukrishnan, Esra Abaci Turk, Patricia Ellen Grant, Nicholas Ayache, Hervé Delingette, Polina Golland
2025	J	`jnl`	Spatial regularisation for improved accuracy and interpretability in keypoint-based registration. CoRR Benjamin Billot, Ramya Muthukrishnan, Esra Abaci Turk, Patricia Ellen Grant, Nicholas Ayache, Hervé Delingette, Polina Golland
2025	J	`jnl`	Supervision by Denoising. IEEE Trans. Pattern Anal. Mach. Intell. Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Christopher A. Metzler, Bruce Fischl, Juan Eugenio Iglesias
2024	A	`conf`	AnyStar: Domain randomized universal star-convex 3D instance segmentation. WACV Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2024	J	`jnl`	Calibrating Expressions of Certainty. CoRR Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2024	J	`jnl`	Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. CoRR Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi
2024	J	`jnl`	Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT Reconstruction. CoRR Mohammadhossein Momeni, Vivek Gopalakrishnan, Neel Dey, Polina Golland, Sarah F. Frisken
2024	J	`jnl`	Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
2024	J	`jnl`	FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model. CoRR Molin Zhang, Polina Golland, Patricia Ellen Grant, Elfar Adalsteinsson
2024	A*	`conf`	Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CVPR Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
2024	—	`conf`	Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. MLMI@MICCAI (1) Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. CoRR Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024	A*	`conf`	Implicit Representations via Operator Learning. ICML Sourav Pal, Harshavardhan Adepu, Clinton J. Wang, Polina Golland, Vikas Singh
2024	J	`jnl`	InterNeRF: Scaling Radiance Fields via Parameter Interpolation. CoRR Clinton J. Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth
2024	A*	`conf`	Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering. CVPR Vivek Gopalakrishnan, Neel Dey, Polina Golland
2024	J	`jnl`	Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis. CoRR Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2024	—	`conf`	Network conditioning for synergistic learning on partial annotations. MIDL Benjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland
2024	—	`ed.`	Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2024, Cambridge, MA, USA, September 25-27, 2024. ProfIT AI Dmytro Chumachenko, Polina Golland, Sergiy Yakovlev
2024	J	`jnl`	SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Trans. Medical Imaging Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland
2024	—	`conf`	SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. PIPPI@MICCAI Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour
2024	J	`jnl`	SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. CoRR Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour
2024	J	`jnl`	UniMo: Universal Motion Correction For Medical Images without Network Retraining. CoRR Jian Wang, Razieh Faghihpirayesh, Danny Joca, Polina Golland, Ali Gholipour
2023	J	`jnl`	Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage 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
2023	J	`jnl`	AnyStar: Domain randomized universal star-convex 3D instance segmentation. CoRR Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2023	J	`jnl`	Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	—	`conf`	Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. MICCAI (3) Neerav Karani, Neel Dey, Polina Golland
2023	J	`jnl`	Boundary-weighted logit consistency improves calibration of segmentation networks. CoRR Neerav Karani, Neel Dey, Polina Golland
2023	—	`conf`	Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. PIPPI@MICCAI Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2023	J	`jnl`	Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. CoRR Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2023	—	`conf`	Data Consistent Deep Rigid MRI Motion Correction. MIDL Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland
2023	J	`jnl`	Data Consistent Deep Rigid MRI Motion Correction. CoRR Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland
2023	J	`jnl`	Discretization Invariant Networks for Learning Maps between Neural Fields. Trans. Mach. Learn. Res. Clinton J. Wang, Polina Golland
2023	—	`conf`	Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI. MICCAI (8) 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
2023	J	`jnl`	Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI. CoRR 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
2023	J	`jnl`	Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series. CoRR Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, Patricia Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey
2023	—	`conf`	Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI 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
2023	J	`jnl`	Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CoRR Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
2023	J	`jnl`	Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation. CoRR Dominik Hollidt, Clinton J. Wang, Polina Golland, Marc Pollefeys
2023	J	`jnl`	Interpolating between Images with Diffusion Models. CoRR Clinton J. Wang, Polina Golland
2023	J	`jnl`	Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering. CoRR Vivek Gopalakrishnan, Neel Dey, Polina Golland
2023	J	`jnl`	NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. IEEE Trans. Medical Imaging Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2023	J	`jnl`	SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images. CoRR Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland
2023	—	`conf`	Sample-Specific Debiasing for Better Image-Text Models. MLHC Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	J	`jnl`	Sample-Specific Debiasing for Better Image-Text Models. CoRR Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	J	`jnl`	Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. CoRR S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2023	J	`jnl`	Spatial-Intensity Transforms for Medical Image-to-Image Translation. IEEE Trans. Medical Imaging Clinton J. Wang, Natalia S. Rost, Polina Golland
2023	J	`jnl`	Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary. ACM Trans. Graph. S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon
2023	—	`conf`	Using Multiple Instance Learning to Build Multimodal Representations. IPMI Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2022	—	`conf`	Automatic Segmentation of the Placenta in BOLD MRI Time Series. PIPPI@MICCAI S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2022	J	`jnl`	Automatic Segmentation of the Placenta in BOLD MRI Time Series. CoRR S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
2022	J	`jnl`	Deep Learning on Implicit Neural Datasets. CoRR Clinton J. Wang, Polina Golland
2022	J	`jnl`	Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CoRR Vivek Gopalakrishnan, Polina Golland
2022	—	`conf`	Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CLIP@MICCAI Vivek Gopalakrishnan, Polina Golland
2022	J	`jnl`	How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 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
2022	J	`jnl`	Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. Medical Image Anal. Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2022	J	`jnl`	Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets. CoRR Deborah Pereg, Martin Villiger, Brett E. Bouma, Polina Golland
2022	—	`conf`	RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	SUD: Supervision by Denoising for Medical Image Segmentation. CoRR Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
2022	—	`conf`	SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. MICCAI (6) Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
2022	J	`jnl`	SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. CoRR Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
2022	J	`jnl`	Symmetric Volume Maps. CoRR S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon
2022	J	`jnl`	Using Multiple Instance Learning to Build Multimodal Representations. CoRR Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2022	J	`jnl`	Volumetric Parameterization of the Placenta to a Flattened Template. IEEE Trans. Medical Imaging S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2021	—	`conf`	3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. DGM4MICCAI/DALI@MICCAI Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
2021	J	`jnl`	3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. CoRR Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
2021	J	`jnl`	BrainPainter v2: Mouse Brain Visualization Software. CoRR Vedvayas Mallela, Polina Golland, Razvan V. Marinescu
2021	—	`conf`	Equivariant Filters for Efficient Tracking in 3D Imaging. MICCAI (4) Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
2021	J	`jnl`	Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
2021	J	`jnl`	Harmonization and the Worst Scanner Syndrome. CoRR Daniel Moyer, Polina Golland
2021	J	`jnl`	Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. CoRR Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost
2021	—	`conf`	Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021	J	`jnl`	Image Classification with Consistent Supporting Evidence. CoRR Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021	J	`jnl`	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 Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
2021	—	`conf`	Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	J	`jnl`	Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	—	`conf`	STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning. MICCAI (7) Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2021	J	`jnl`	STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. CoRR Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2021	J	`jnl`	Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Terms. CoRR Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma
2021	J	`jnl`	Volumetric Parameterization of the Placenta to a Flattened Template. CoRR S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2020	—	`conf`	3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network. ASMUS/PIPPI@MICCAI Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2020	J	`jnl`	A New Age of Computing and the Brain. CoRR Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein
2020	—	`conf`	A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology. CVPR Workshops Mohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma
2020	J	`jnl`	Bayesian Image Reconstruction using Deep Generative Models. CoRR Razvan V. Marinescu, Daniel Moyer, Polina Golland
2020	J	`jnl`	DEMI: Discriminative Estimator of Mutual Information. CoRR Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III
2020	J	`jnl`	Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz
2020	—	`conf`	Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy. MICCAI (6) Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2020	J	`jnl`	Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy. CoRR Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2020	J	`jnl`	Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland
2020	—	`conf`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	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 Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
2020	J	`jnl`	Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2020	A*	`conf`	PEP: Parameter Ensembling by Perturbation. NeurIPS Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020	J	`jnl`	PEP: Parameter Ensembling by Perturbation. CoRR Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020	J	`jnl`	Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
2020	J	`jnl`	Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency. CoRR Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2020	—	`conf`	Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency. MICCAI (6) Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
2020	—	`conf`	Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) Clinton J. Wang, Natalia S. Rost, Polina Golland
2019	—	`conf`	BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. MBIA/MFCA@MICCAI Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland
2019	J	`jnl`	BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. CoRR Razvan V. Marinescu, Daniel C. Alexander, Polina Golland
2019	J	`jnl`	Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 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
2019	—	`conf`	Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 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
2019	—	`conf`	Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network. MICCAI (4) Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson
2019	J	`jnl`	Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network. CoRR Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson
2019	—	`conf`	Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. IPMI Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki
2019	J	`jnl`	Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases. CoRR Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki
2019	J	`jnl`	Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2019	—	`conf`	Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. MICCAI (4) Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
2019	J	`jnl`	Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. CoRR Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
2019	—	`conf`	Placental Flattening via Volumetric Parameterization. MICCAI (4) Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2019	J	`jnl`	Placental Flattening via Volumetric Parameterization. CoRR Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2019	J	`jnl`	Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland
2019	—	`conf`	TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 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
2019	J	`jnl`	Temporal Registration in Application to In-utero MRI Time Series. CoRR Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland
2019	—	`conf`	Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
2019	J	`jnl`	Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
2018	—	`conf`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 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
2018	J	`jnl`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR 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
2018	—	`conf`	Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 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
2018	—	`conf`	Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang
2018	—	`conf`	Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. DLMIA/ML-CDS@MICCAI Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2018	J	`jnl`	Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. CoRR Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2018	J	`jnl`	Keypoint Transfer for Fast Whole-Body Segmentation. CoRR Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2018	J	`jnl`	Medical Image Imputation from Image Collections. CoRR Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2018	J	`jnl`	Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 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
2018	J	`jnl`	On the Ambiguity of Registration Uncertainty. CoRR 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
2018	J	`jnl`	Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 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
2017	J	`jnl`	Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans. Biomed. Eng. Christian Wachinger, Matthew S. Brennan, Gregory C. Sharp, Polina Golland
2017	—	`conf`	Fast Geodesic Regression for Population-Based Image Analysis. MICCAI (1) Yi Hong, Polina Golland, Miaomiao Zhang
2017	—	`conf`	Frequency Diffeomorphisms for Efficient Image Registration. IPMI Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland
2017	—	`conf`	Population Based Image Imputation. IPMI Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2017	J	`jnl`	Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. Miaomiao Zhang, William M. Wells III, Polina Golland
2016	J	`jnl`	A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 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
2016	—	`conf`	Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) Miaomiao Zhang, William M. Wells III, Polina Golland
2016	—	`conf`	Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland
2016	J	`jnl`	Statistical shape analysis: From landmarks to diffeomorphisms. Medical Image Anal. Miaomiao Zhang, Polina Golland
2016	—	`conf`	Temporal Registration in In-Utero Volumetric MRI Time Series. MICCAI (3) Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland
2016	J	`jnl`	Temporal Registration in In-Utero Volumetric MRI Time Series. CoRR Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland
2016	—	`conf`	Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort. MLMI@MICCAI Polina Binder, Nematollah Kayhan Batmanghelich, Raúl San José Estépar, Polina Golland
2015	—	`conf`	A Latent Source Model for Patch-Based Image Segmentation. MICCAI (3) George H. Chen, Devavrat Shah, Polina Golland
2015	J	`jnl`	A Latent Source Model for Patch-Based Image Segmentation. CoRR George H. Chen, Devavrat Shah, Polina Golland
2015	J	`jnl`	BrainPrint: A discriminative characterization of brain morphology. NeuroImage Christian Wachinger, Polina Golland, William S. Kremen, Bruce Fischl, Martin Reuter
2015	J	`jnl`	Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning. CoRR Christian Wachinger, Polina Golland
2015	—	`conf`	Generative Method to Discover Genetically Driven Image Biomarkers. IPMI Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland
2015	—	`conf`	Interactive Whole-Heart Segmentation in Congenital Heart Disease. MICCAI (3) Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland
2015	—	`conf`	Keypoint Transfer Segmentation. IPMI Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2015	J	`jnl`	MEDIA special issue on MICCAI 2014. Medical Image Anal. Christian Barillot, Polina Golland, Nobuhiko Hata, Joachim Hornegger, Robert D. Howe
2015	—	`conf`	Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion. MICCAI (2) Georg Langs, Polina Golland, Satrajit S. Ghosh
2015	—	`conf`	Predictive Modeling of Anatomy with Genetic and Clinical Data. MICCAI (3) Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
2015	—	`conf`	Sampling from Determinantal Point Processes for Scalable Manifold Learning. IPMI Christian Wachinger, Polina Golland
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 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
2014	—	`conf`	Atlas-Based Under-Segmentation. MICCAI (1) Christian Wachinger, Polina Golland
2014	—	`conf`	BrainPrint : Identifying Subjects by Their Brain. MICCAI (3) Christian Wachinger, Polina Golland, Martin Reuter
2014	J	`jnl`	Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013. NeuroImage Alexandra Woolgar, Polina Golland, Stefan Bode
2014	J	`jnl`	Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients. NeuroImage Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland
2014	J	`jnl`	Diversifying Sparsity Using Variational Determinantal Point Processes. CoRR Nematollah Kayhan Batmanghelich, Gerald T. Quon, Alex Kulesza, Manolis Kellis, Polina Golland, Luke Bornn
2014	—	`conf`	Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. MICCAI (1) Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III
2014	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I MICCAI (1) Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe
2014	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II MICCAI (2) Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe
2014	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III MICCAI (3) Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe
2014	—	`conf`	Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) 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
2014	—	`conf`	Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. BAMBI Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland
2013	—	`conf`	Contour-Driven Regression for Label Inference in Atlas-Based Segmentation. MICCAI (3) Christian Wachinger, Gregory C. Sharp, Polina Golland
2013	—	`conf`	Detecting Epileptic Regions Based on Global Brain Connectivity Patterns. MICCAI (1) Andrew Sweet, Archana Venkataraman, Steven M. Stufflebeam, Hesheng Liu, Naoro Tanaka, Joseph R. Madsen, Polina Golland
2013	J	`jnl`	Editorial for the MEDIA special issue on MICCAI 2012. Medical Image Anal. Hervé Delingette, Polina Golland, Kensaku Mori
2013	J	`jnl`	From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder. IEEE Trans. Medical Imaging Archana Venkataraman, Marek Kubicki, Polina Golland
2013	—	`conf`	Joint Modeling of Imaging and Genetics. IPMI Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland
2013	—	`conf`	Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. MBIA Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland
2013	J	`jnl`	Sparse Projections of Medical Images onto Manifolds CoRR George H. Chen, Christian Wachinger, Polina Golland
2013	—	`conf`	Sparse Projections of Medical Images onto Manifolds. IPMI George H. Chen, Christian Wachinger, Polina Golland
2012	—	`conf`	From Brain Connectivity Models to Identifying Foci of a Neurological Disorder. MICCAI (1) Archana Venkataraman, Marek Kubicki, Polina Golland
2012	J	`jnl`	Joint Modeling of Anatomical and Functional Connectivity for Population Studies. IEEE Trans. Medical Imaging Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2012	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I MICCAI (1) Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori
2012	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II MICCAI (2) Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori
2012	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III MICCAI (3) Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori
2012	J	`jnl`	Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data. NeuroImage Danial Lashkari, Ramesh Sridharan, Edward Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland
2012	—	`conf`	Spectral Label Fusion. MICCAI (3) Christian Wachinger, Polina Golland
2011	—	`conf`	A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland
2011	—	`conf`	Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain. MLINI George H. Chen, Evelina Fedorenko, Nancy Kanwisher, Polina Golland
2011	J	`jnl`	Detecting stable distributed patterns of brain activation using Gini contrast. NeuroImage Georg Langs, Bjoern H. Menze, Danial Lashkari, Polina Golland
2011	—	`conf`	Learning an Atlas of a Cognitive Process in Its Functional Geometry. IPMI Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland
2011	Misc	`conf`	Modeling anatomical heterogeneity in populations. ICASSP Polina Golland, Mert R. Sabuncu
2011	—	`conf`	Ranking of stopping criteria for log domain diffeomorphic demons application in clinical radiation therapy. EMBC Marta Peroni, Polina Golland, Gregory C. Sharp, Guido Baroni
2011	—	`conf`	Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. MICCAI (3) Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland
2010	—	`conf`	A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. MICCAI (2) Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, Polina Golland
2010	J	`jnl`	A Generative Model for Image Segmentation Based on Label Fusion. IEEE Trans. Medical Imaging Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland
2010	—	`conf`	Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations. NIPS Danial Lashkari, Ramesh Sridharan, Polina Golland
2010	J	`jnl`	Combining spatial priors and anatomical information for fMRI detection. Medical Image Anal. Wanmei Ou, William M. Wells III, Polina Golland
2010	J	`jnl`	Discovering structure in the space of fMRI selectivity profiles. NeuroImage Danial Lashkari, Ed Vul, Nancy Kanwisher, Polina Golland
2010	—	`conf`	Functional Geometry Alignment and Localization of Brain Areas. NIPS Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland
2010	—	`conf`	Joint Generative Model for fMRI/DWI and Its Application to Population Studies. MICCAI (1) Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2010	J	`jnl`	Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex. IEEE Trans. Medical Imaging B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne J. Holt, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl
2010	—	`conf`	Morphology-Guided Graph Search for Untangling Objects: MICCAI (3) Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby
2010	J	`jnl`	Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation. NeuroImage Wanmei Ou, Aapo Nummenmaa, Jyrki Ahveninen, John W. Belliveau, Matti S. Hämäläinen, Polina Golland
2010	—	`conf`	Nonparametric hierarchical Bayesian model for functional brain parcellation. CVPR Workshops Danial Lashkari, Ramesh Sridharan, Ed Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland
2010	—	`conf`	Resolving clustered worms via probabilistic shape models. ISBI Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter
2010	—	`conf`	Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation. STACOM/CESC Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland
2010	—	`conf`	Robust feature selection in resting-state fMRI connectivity based on population studies. CVPR Workshops Archana Venkataraman, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2010	J	`jnl`	Segmentation of image ensembles via latent atlases. Medical Image Anal. Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland
2010	J	`jnl`	Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration. IEEE Trans. Medical Imaging B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland
2009	J	`jnl`	A distributed spatio-temporal EEG/MEG inverse solver. NeuroImage Wanmei Ou, Matti S. Hämäläinen, Polina Golland
2009	—	`conf`	Asymmetric Image-Template Registration. MICCAI (1) Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland
2009	J	`jnl`	DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential. IEEE Trans. Medical Imaging B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard, Jean-Marc Peyrat, Xavier Pennec, Polina Golland, Nicholas Ayache, Olivier Clatz
2009	—	`conf`	Exploratory fMRI Analysis without Spatial Normalization. IPMI Danial Lashkari, Polina Golland
2009	Misc	`conf`	Exploring functional connectivity in fMRI via clustering. ICASSP Archana Venkataraman, Koene R. A. Van Dijk, Randy L. Buckner, Polina Golland
2009	J	`jnl`	Image-Driven Population Analysis Through Mixture Modeling. IEEE Trans. Medical Imaging Mert R. Sabuncu, Serdar K. Balci, Martha Elizabeth Shenton, Polina Golland
2009	—	`conf`	Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland
2009	—	`conf`	Modeling Adaptation Effects in fMRI Analysis. MICCAI (1) Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Golland, Matti S. Hämäläinen
2009	—	`conf`	Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation. IPMI Wanmei Ou, Aapo Nummenmaa, Matti S. Hämäläinen, Polina Golland
2009	—	`conf`	Supervised Nonparametric Image Parcellation. MICCAI (1) Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland
2009	—	`conf`	Task-Optimal Registration Cost Functions. MICCAI (1) B. T. Thomas Yeo, Mert R. Sabuncu, Polina Golland, Bruce Fischl
2008	—	`conf`	A Distributed Spatio-temporal EEG/MEG Inverse Solver. MICCAI (1) Wanmei Ou, Polina Golland, Matti S. Hämäläinen
2008	—	`conf`	Analysis of Surfaces Using Constrained Regression Models. MICCAI (1) Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen
2008	J	`jnl`	CellProfiler Analyst: data exploration and analysis software for complex image-based screens. BMC Bioinform. Thouis R. Jones, In Han Kang, Douglas B. Wheeler, Robert A. Lindquist, Adam Papallo, David M. Sabatini, Polina Golland, Anne E. Carpenter
2008	—	`conf`	DTI registration with exact finite-strain differential. ISBI B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard, Xavier Pennec, Polina Golland, Nicholas Ayache, Olivier Clatz
2008	—	`conf`	Discovering Modes of an Image Population through Mixture Modeling. MICCAI (2) Mert R. Sabuncu, Serdar K. Balci, Polina Golland
2008	—	`conf`	Discovering Structure in the Space of Activation Profiles in fMRI. MICCAI (1) Danial Lashkari, Ed Vul, Nancy Kanwisher, Polina Golland
2008	J	`jnl`	Effects of registration regularization and atlas sharpness on segmentation accuracy. Medical Image Anal. B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland
2008	—	`conf`	Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI. MICCAI (1) Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham C. Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl
2008	J	`jnl`	On the Construction of Invertible Filter Banks on the 2-Sphere. IEEE Trans. Image Process. B. T. Thomas Yeo, Wanmei Ou, Polina Golland
2008	—	`conf`	Shape Analysis with Overcomplete Spherical Wavelets. MICCAI (1) B. T. Thomas Yeo, Peng Yu, Patricia Ellen Grant, Bruce Fischl, Polina Golland
2008	—	`conf`	Spatial patterns and functional profiles for discovering structure in fMRI data. ACSCC Polina Golland, Danial Lashkari, Archana Venkataraman
2008	—	`conf`	Spherical Demons: Fast Surface Registration. MICCAI (1) B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland
2007	—	`conf`	Convex Clustering with Exemplar-Based Models. NIPS Danial Lashkari, Polina Golland
2007	A*	`conf`	Cortical Folding Development Study based on Over-Complete Spherical Wavelets. ICCV Peng Yu, B. T. Thomas Yeo, Patricia Ellen Grant, Bruce Fischl, Polina Golland
2007	J	`jnl`	Cortical Surface Shape Analysis Based on Spherical Wavelets. IEEE Trans. Medical Imaging 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
2007	—	`conf`	Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data. MICCAI (1) Polina Golland, Yulia Golland, Rafael Malach
2007	—	`conf`	Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy. MICCAI (1) B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland
2007	J	`jnl`	Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis. IEEE Trans. Medical Imaging Daniel Rueckert, Polina Golland
2007	—	`conf`	Sources of Variability in MEG. MICCAI (2) Wanmei Ou, Polina Golland, Matti S. Hämäläinen
2007	A*	`conf`	What Data to Co-register for Computing Atlases. ICCV B. T. Thomas Yeo, Mert R. Sabuncu, Hartmut Mohlberg, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl
2006	—	`conf`	Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation. CVPR Workshops Peng Yu, Xiao Han, Florent Ségonne, Rudolph Pienaar, Randy L. Buckner, Polina Golland, Patricia Ellen Grant, Bruce Fischl
2006	B	`conf`	Invertible Filter Banks on the 2-Sphere. ICIP B. T. Thomas Yeo, Wanmei Ou, Polina Golland
2006	—	`conf`	Shape-based Discrimination and Classification of Cortical Surfaces. ICPR (3) Peng Yu, Xiao Han, Florent Ségonne, Arthur K. Liu, Russell A. Poldrack, Polina Golland, Bruce Fischl
2005	—	`conf`	Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge. CVBIA W. Eric L. Grimson, Polina Golland
2005	J	`jnl`	Detection and analysis of statistical differences in anatomical shape. Medical Image Anal. Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis
2005	—	`conf`	From Spatial Regularization to Anatomical Priors in fMRI Analysis. IPMI Wanmei Ou, Polina Golland
2005	A*	`conf`	Permutation Tests for Classification. COLT Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko
2005	—	`conf`	Voronoi-Based Segmentation of Cells on Image Manifolds. CVBIA Thouis R. Jones, Anne E. Carpenter, Polina Golland
2003	—	`conf`	Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies. IPMI Polina Golland, Bruce Fischl
2002	—	`conf`	Discriminative Analysis for Image-Based Studies. MICCAI (1) Polina Golland, Bruce Fischl, Mona Spiridon, Nancy Kanwisher, Randy L. Buckner, Martha Elizabeth Shenton, Ron Kikinis, Anders M. Dale, W. Eric L. Grimson
2002	—	`conf`	Performance Issues in Shape Classification. MICCAI (1) Samson J. Timoner, Polina Golland, Ron Kikinis, Martha Elizabeth Shenton, W. Eric L. Grimson, William M. Wells III
2001	—	`conf`	Deformation Analysis for Shape Based Classification. IPMI Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis
2001	—	`conf`	Discriminative Direction for Kernel Classifiers. NIPS Polina Golland
2001	—	`—`	Statistical shape analysis of anatomical structures. Polina Golland
2000	A*	`conf`	Fixed Topology Skeletons. CVPR Polina Golland, W. Eric L. Grimson
2000	A	`conf`	Small Sample Size Learning for Shape Analysis of Anatomical Structures. MICCAI Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis
1999	—	`conf`	Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study. IPMI Polina Golland, W. Eric L. Grimson, Ron Kikinis
1999	J	`jnl`	Stereo Matching with Transparency and Matting. Int. J. Comput. Vis. Richard Szeliski, Polina Golland
1998	A	`conf`	AnatomyBrowser: A Framework for Integration of Medical Information. MICCAI Polina Golland, Ron Kikinis, Christopher Umans, Michael Halle, Martha Elizabeth Shenton, Jens A. Richolt
1998	A*	`conf`	Stereo Matching with Transparency and Matting. ICCV Richard Szeliski, Polina Golland
1997	J	`jnl`	Motion from Color. Comput. Vis. Image Underst. Polina Golland, Alfred M. Bruckstein
1996	J	`jnl`	Why R.G.B.? Or How to Design Color Displays for Martians. CVGIP Graph. Model. Image Process. Polina Golland, Alfred M. Bruckstein