Beyond volume rendering: visualization, haptic exploration, and physical modeling of voxel-based objects. - Sarah F. Frisken Gibson (Visualization in Scientific Computing, 1995)

Efficient Hierarchical Refinement and Clustering for Radiosity in Complex Environments. - Sarah F. Gibson; Roger J. Hubbold (Comput. Graph. Forum, 1996)

Simulating arthroscopic knee surgery using volumetric object representations, real-time volume rendering and haptic feedback. - Sarah F. Gibson; Joseph Samosky; Andrew B. Mor; Christina Fyock; W. Eric L. Grimson; Takeo Kanade; Ron Kikinis; Hugh C. Lauer; Neil McKenzie; Shin Nakajima 002; TakaHide Ohkami; Randy Osborne; et al. (CVRMed, 1997)

EM-Cube: An Architecture for Low-Cost Real-Time Volume Rendering. - Randy Osborne; Hanspeter Pfister; Hugh C. Lauer; Neil McKenzie; Sarah F. Gibson; Wally Hiatt; TakaHide Ohkarni (Workshop on Graphics Hardware, 1997)

A Heuristic Method for Generating 2D CSG Trees from Bitmaps. - Sarah F. Gibson; Joe Marks; Danielle Feinberg; Manuel Sosa (Graphics Interface, 1997)

3D Chainmail: A Fast Algorithm for Deforming Volumetric Objects. - Sarah F. Gibson (SI3D, 1997)

Design galleries: a general approach to setting parameters for computer graphics and animation. - Joe Marks; Brad Andalman; Paul A. Beardsley; William T. Freeman; Sarah F. Gibson; Jessica K. Hodgins; T. Kang; Brian Mirtich; Hanspeter Pfister; Wheeler Ruml; Kathy Ryall; Joshua E. Seims; et al. (SIGGRAPH, 1997)

Perceptually-Driven Radiosity. - Sarah F. Gibson; Roger J. Hubbold (Comput. Graph. Forum, 1997)

Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data. - Sarah F. Frisken Gibson (MICCAI, 1998)

Biomechanical Simulation of the Vitreous Humor in the Eye Using and Enhanced ChainMail Algorithm. - Markus A. Schill; Sarah F. Frisken Gibson; Hans-Joachim Bender; Reinhard Männer (MICCAI, 1998)

Using Distance Maps for Accurate Surface Representation in Sampled Volumes. - Sarah F. Frisken Gibson (VVS, 1998)

Volumetric object modeling for surgical simulation. - Sarah F. Frisken Gibson; Christina Fyock; Eric Grimson; Takeo Kanade; Ron Kikinis; Hugh C. Lauer; Neil McKenzie; Andrew B. Mor; Shin Nakajima 002; TakaHide Ohkami; Randy Osborne; Joseph Samosky; et al. (Medical Image Anal., 1998)

Model Generation from Multiple Volumes Using Constrained Elastic SurfaceNets. - Michael E. Leventon; Sarah F. Frisken Gibson (IPMI, 1999)

Using Linked Volumes to Model Object Collisions, Deformation, Cutting, Carving, and Joining. - Sarah F. Frisken Gibson (IEEE Trans. Vis. Comput. Graph., 1999)

Improving Triangle Mesh Quality with SurfaceNets. - Paul W. de Bruin; Frans Vos; Frits H. Post; Sarah F. Frisken Gibson; Albert M. Vossepoel (MICCAI, 2000)

Adaptively sampled distance fields: a general representation of shape for computer graphics. - Sarah F. Frisken Gibson; Ronald N. Perry; Alyn P. Rockwood; Thouis R. Jones (SIGGRAPH, 2000)

Kizamu: a system for sculpting digital characters. - Ronald N. Perry; Sarah F. Frisken Gibson (SIGGRAPH, 2001)

Efficient estimation of 3D Euclidean distance fields from 2D range images. - Sarah F. Frisken Gibson; Ronald N. Perry (VolVis, 2002)

Simple and Efficient Traversal Methods for Quadtrees and Octrees. - Sarah F. Frisken; Ronald N. Perry (J. Graphics, GPU, & Game Tools, 2002)

Theory and Applied Computing: Observations and Anecdotes. - Matthew Brand; Sarah F. Frisken Gibson; Neal Lesh; Joe Marks; Daniel Nikovski; Ronald N. Perry; Jonathan S. Yedidia (MFCS, 2004)

Designing with Distance Fields. - Sarah F. Frisken; Ronald N. Perry (SMI, 2005)

An improved representation for stroke-based fonts. - Elena Jakubiak Hutchinson; Ronald N. Perry; Sarah F. Frisken (SIGGRAPH Sketches, 2006)

Sketching curves with immediate feedback. - Sarah F. Frisken (SIGGRAPH Sketches, 2007)

Efficient Curve Fitting. - Sarah F. Frisken (J. Graph. Tools, 2008)

Proximity Cluster Trees. - Elena Jakubiak Hutchinson; Sarah F. Frisken; Ronald N. Perry (J. Graph. Tools, 2008)

Automated detection of intracranial aneurysms based on parent vessel 3D analysis. - Alexandra Lauric; Eric L. Miller 001; Sarah F. Frisken; Adel M. Malek (Medical Image Anal., 2010)

High accuracy NC milling simulation using composite adaptively sampled distance fields. - Alan Sullivan; Hüseyin Erdim; Ronald N. Perry; Sarah F. Frisken (Comput. Aided Des., 2012)

Validation of model-based brain shift correction in neurosurgery via intraoperative magnetic resonance imaging: preliminary results. - Ma Luo; Sarah F. Frisken; Jared A. Weis; Logan W. Clements; Prashin Unadkat; Reid Carleton Thompson; Alexandra J. Golby; Michael I. Miga (Image-Guided Procedures, 2017)

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. - Jie Luo 003; Matthew Toews; Inês Machado; Sarah F. Frisken; Miaomiao Zhang 002; Frank Preiswerk; Alireza Sedghi; Hongyi Ding; Steve Pieper 001; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; et al. (MICCAI (4), 2018)

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. - Inês Machado; Matthew Toews; Jie Luo 003; Prashin Unadkat; Walid Essayed; Elizabeth George; Pedro Teodoro; Herculano Carvalho; Jorge Martins 001; Polina Golland; Steve Pieper 001; Sarah F. Frisken; et al. (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Using the variogram for vector outlier screening: application to feature-based image registration. - Jie Luo 003; Sarah F. Frisken; Inês Machado; Miaomiao Zhang 002; Steve Pieper 001; Polina Golland; Matthew Toews; Prashin Unadkat; Alireza Sedghi; Haoyin Zhou; Alireza Mehrtash; Frank Preiswerk; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. - Inês Machado; Matthew Toews; Jie Luo 003; Prashin Unadkat; Walid Essayed; Elizabeth George; Pedro Teodoro; Herculano Carvalho; Jorge Martins 001; Polina Golland; Steve Pieper 001; Sarah F. Frisken; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

On the Ambiguity of Registration Uncertainty. - Jie Luo 003; Sarah F. Frisken; Karteek Popuri; Dana Cobzas; Frank Preiswerk; Matthew Toews; Miaomiao Zhang 002; Hongyi Ding; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III (CoRR, 2018)

On the Applicability of Registration Uncertainty. - Jie Luo 003; Alireza Sedghi; Karteek Popuri; Dana Cobzas; Miaomiao Zhang 002; Frank Preiswerk; Matthew Toews; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III; Sarah F. Frisken (MICCAI (2), 2019)

Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound. - Sarah F. Frisken; Ma Luo; Inês Machado; Prashin Unadkat; Parikshit Juvekar; Adomas Bunevicius; Matthew Toews; William M. Wells III; Michael I. Miga; Alexandra J. Golby (Image-Guided Procedures, 2019)

A comprehensive model-assisted brain shift correction approach in image-guided neurosurgery: a case study in brain swelling and subsequent sag after craniotomy. - Ma Luo; Sarah F. Frisken; Saramati Narasimhan; Logan W. Clements; Reid Carleton Thompson; Alexandra J. Golby; Michael I. Miga (Image-Guided Procedures, 2019)

Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery. - Jie Luo 003; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III; Sarah F. Frisken (CoRR, 2019)

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. - Inês Machado; Matthew Toews; Elizabeth George; Prashin Unadkat; Walid Essayed; Jie Luo 003; Pedro Teodoro; Herculano Carvalho; Jorge Martins 001; Polina Golland; Steve Pieper 001; Sarah F. Frisken; et al. (NeuroImage, 2019)

Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels. - Nazim Haouchine; Parikshit Juvekar; William M. Wells III; Stephane Cotin; Alexandra J. Golby; Sarah F. Frisken (MICCAI (4), 2020)

Are Registration Uncertainty and Error Monotonically Associated? - Jie Luo 003; Sarah F. Frisken; Duo Wang; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III (MICCAI (3), 2020)

Automatic brain structure-guided registration of pre and intra-operative 3D ultrasound for neurosurgery. - Soumya Ghose; David Mills; Jhimli Mitra; L. Scott Smith; Desmond Teck-Beng Yeo; Alexandra J. Golby; Sarah F. Frisken; Thomas K. Foo (Image-Guided Procedures, 2020)

Alignment of cortical vessels viewed through the surgical microscope with preoperative imaging to compensate for brain shift. - Nazim Haouchine; Parikshit Juvekar; Alexandra J. Golby; William M. Wells III; Stephane Cotin; Sarah F. Frisken (Image-Guided Procedures, 2020)

A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection. - Sarah F. Frisken; Ma Luo; Parikshit Juvekar; Adomas Bunevicius; Inês Machado; Prashin Unadkat; Melina M. Bertotti; Matthew Toews; William M. Wells III; Michael I. Miga; Alexandra J. Golby (Int. J. Comput. Assist. Radiol. Surg., 2020)

Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? - Jie Luo 003; Guangshen Ma; Sarah F. Frisken; Parikshit Juvekar; Nazim Haouchine; Zhe Xu 012; Yiming Xiao; Alexandra J. Golby; Patrick J. Codd; Masashi Sugiyama; William M. Wells III (CoRR, 2020)

Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems. - Fotis Drakopoulos; Christos Tsolakis; Angelos Angelopoulos; Yixun Liu; Chengjun Yao; Kyriaki Rafailia Kavazidi; Nicolas Foroglou; Andrey Fedorov; Sarah F. Frisken; Ron Kikinis; Alexandra J. Golby; Nikos Chrisochoides (Frontiers Digit. Health, 2020)

Deep Cortical Vessel Segmentation Driven By Data Augmentation With Neural Image Analogy. - Michael Nercessian; Nazim Haouchine; Parikshit Juvekar; Sarah F. Frisken; Alexandra J. Golby (ISBI, 2021)

Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose. - Nazim Haouchine; Parikshit Juvekar; Xin Xiong; Jie Luo 003; Tina Kapur; Rose Du; Alexandra J. Golby; Sarah F. Frisken (MICCAI (6), 2021)

Mapping the progression of resection continuously during brain tumor surgery. - Sarah F. Frisken; Parikshit Juvekar; Wenya Linda Bi; Alexandra J. Golby (Image-Guided Procedures, 2021)

Predicted microscopic cortical brain images for optimal craniotomy positioning and visualisation. - Nazim Haouchine; Parikshit Juvekar; Alexandra J. Golby; Sarah F. Frisken (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. - Zhe Xu 012; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Jayender Jagadeesan; William M. Wells III; Sarah F. Frisken; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (CoRR, 2021)

On the Dataset Quality Control for Image Registration Evaluation. - Jie Luo 003; Guangshen Ma; Nazim Haouchine; Zhe Xu 012; Yixin Wang 003; Tina Kapur; Lipeng Ning; William M. Wells III; Sarah F. Frisken (MICCAI (6), 2022)

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. - Zhe Xu 012; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Sarah F. Frisken; Jayender Jagadeesan; William M. Wells III; Xiu Li 001; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (6), 2022)

NousNav: A low-cost neuronavigation system for deployment in lower-resource settings. - Étienne Léger; Samantha Horvath; Jean-Christophe Fillion-Robin; David Allemang; Samuel Gerber; Parikshit Juvekar; Erickson Torio; Tina Kapur; Steve Pieper 001; Sonia Pujol; Ryan S. Bardsley; Sarah F. Frisken; et al. (Int. J. Comput. Assist. Radiol. Surg., 2022)

Automatic framework for patient-specific modelling of tumour resection-induced brain shift. - Yue Yu; Saima Safdar; George C. Bourantas; Benjamin Zwick; Grand R. Joldes; Tina Kapur; Sarah F. Frisken; Ron Kikinis; Arya Nabavi; Alexandra J. Golby; Adam Wittek; Karol Miller (Comput. Biol. Medicine, 2022)

Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences. - Sarah F. Frisken; Nazim Haouchine; Rose Du; Alexandra J. Golby (Comput. Medical Imaging Graph., 2022)

Pose Estimation and Non-Rigid Registration for Augmented Reality During Neurosurgery. - Nazim Haouchine; Parikshit Juvekar; Michael Nercessian; William M. Wells III; Alexandra J. Golby; Sarah F. Frisken (IEEE Trans. Biomed. Eng., 2022)

Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. - Reuben Dorent; Nazim Haouchine; Fryderyk Victor Kögl; Samuel Joutard; Parikshit Juvekar; Erickson Torio; Alexandra J. Golby; Sébastien Ourselin; Sarah F. Frisken; Tom Vercauteren; Tina Kapur; William M. Wells III (MICCAI (10), 2023)

Learning Expected Appearances for Intraoperative Registration During Neurosurgery. - Nazim Haouchine; Reuben Dorent; Parikshit Juvekar; Erickson Torio; William M. Wells III; Tina Kapur; Alexandra J. Golby; Sarah F. Frisken (MICCAI (9), 2023)

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. - Zhe Xu 012; Donghuan Lu; Jiangpeng Yan; Jinghan Sun; Jie Luo 003; Dong Wei 004; Sarah F. Frisken; Quanzheng Li; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (4), 2023)

A tool-free neuronavigation method based on single-view hand tracking. - Fryderyk Victor Kögl; Étienne Léger; Nazim Haouchine; Erickson Torio; Parikshit Juvekar; Nassir Navab; Tina Kapur; Steve Pieper 001; Alexandra J. Golby; Sarah F. Frisken (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. - Ruben T. Lucassen; Mohammad H. Jafari 001; Nicole M. Duggan; Nick Jowkar; Alireza Mehrtash; Chanel E. Fischetti; Denie Bernier; Kira Prentice; Erik P. Duhaime; Mike Jin; Purang Abolmaesumi; Friso G. Heslinga; et al. (IEEE J. Biomed. Health Informatics, 2023)

SlicerCBM: automatic framework for biomechanical analysis of the brain. - Saima Safdar; Benjamin F. Zwick; Yue Yu; George C. Bourantas; Grand R. Joldes; Simon K. Warfield; Damon E. Hyde; Sarah F. Frisken; Tina Kapur; Ron Kikinis; Alexandra J. Golby; Arya Nabavi; et al. (Int. J. Comput. Assist. Radiol. Surg., 2023)

Two Projections Suffice for Cerebral Vascular Reconstruction. - Alexandre Cafaro; Reuben Dorent; Nazim Haouchine; Vincent Lepetit; Nikos Paragios; William M. Wells III; Sarah F. Frisken (MICCAI (7), 2024)

Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. - Reuben Dorent; Erickson Torio; Nazim Haouchine; Colin Galvin; Sarah F. Frisken; Alexandra J. Golby; Tina Kapur; William M. Wells III (MICCAI (6), 2024)

Intraoperative Registration by Cross-Modal Inverse Neural Rendering. - Maximilian Fehrentz; Mohammad Farid Azampour; Reuben Dorent; Hassan Rasheed; Colin Galvin; Alexandra J. Golby; William M. Wells III; Sarah F. Frisken; Nassir Navab; Nazim Haouchine (MICCAI (6), 2024)

Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. - Hassan Rasheed; Reuben Dorent; Maximilian Fehrentz; Tina Kapur; William M. Wells III; Alexandra J. Golby; Sarah F. Frisken; Julia A. Schnabel; Nazim Haouchine (ASMUS@MICCAI, 2024)

A High-Performance SurfaceNets Discrete Isocontouring Algorithm. - William J. Schroeder; Spiros Tsalikis; Michael Halle; Sarah F. Frisken (CoRR, 2024)

Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography. - Kathleen Baur; Xin Xiong; Erickson Torio; Rose Du; Parikshit Juvekar; Reuben Dorent; Alexandra J. Golby; Sarah F. Frisken; Nazim Haouchine (CoRR, 2024)

Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts. - Reuben Dorent; Nazim Haouchine; Alexandra J. Golby; Sarah F. Frisken; Tina Kapur; William M. Wells III (CoRR, 2024)

Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT Reconstruction. - Mohammadhossein Momeni; Vivek Gopalakrishnan; Neel Dey; Polina Golland; Sarah F. Frisken (CoRR, 2024)

VESCL: an open source 2D vessel contouring library. - Sarah F. Frisken; Nazim Haouchine; David Dimitris Chlorogiannis; Vivek Gopalakrishnan; Alexandre Cafaro; William M. Wells III; Alexandra J. Golby; R. Du (Int. J. Comput. Assist. Radiol. Surg., 2024)

3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering. - Taewoong Lee; Sarah F. Frisken; Nazim Haouchine (CoRR, 2025)

Rapid patient-specific neural networks for intraoperative X-ray to volume registration. - Vivek Gopalakrishnan; Neel Dey; David Dimitris Chlorogiannis; Andrew Abumoussa; Anna M. Larson; Darren Orbach; Sarah F. Frisken; Polina Golland (CoRR, 2025)

Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography. - Sarah F. Frisken; Vivek Gopalakrishnan; David Dimitris Chlorogiannis; Nazim Haouchine; Alexandre Cafaro; Alexandra J. Golby; William M. Wells III; Rose Du (Int. J. Comput. Assist. Radiol. Surg., 2025)

Optimizing registration uncertainty visualization to support intraoperative decision-making during brain tumor resection. - Mahsa Geshvadi; Reuben Dorent; Colin Galvin; Laura Rigolo; Nazim Haouchine; Tina Kapur; Steven D. Pieper; Mark G. Vangel; William M. Wells III; Alexandra J. Golby; Daniel Haehn; Sarah F. Frisken (Int. J. Comput. Assist. Radiol. Surg., 2025)