Sandy Napel

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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Xin Yang, Pheng-Ann Heng, Peter M. Full, 2018, IEEE Transactions on Medical Imaging.

Adaptive local window for level set segmentation of CT and MRI liver lesions

Daniel L. Rubin, Claude B. Sirlin, Assaf Hoogi, 2016, Medical Image Anal..

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Lubomir M. Hadjiiski, Lin Lu, Yoganand Balagurunathan, 2016, Tomography.

Automated Tracing of the Adventitial Contour of Aortoiliac and Peripheral Arterial Walls in CT Angiography (CTA) to Allow Calculation of Non-calcified Plaque Burden

Geoffrey D. Rubin, Bhargav Raman, Sandy Napel, 2011, Journal of digital imaging.

Semiautomated editing of computed tomography sections for visualization of vasculature

Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel, 1996, Medical Imaging.

Assessing operating characteristics of CAD algorithms in the absence of a gold standard.

Kingshuk Roy Choudhury, Sandy Napel, David S Paik, 2010, Medical physics.

Colon polyp detection using smoothed shape operators: Preliminary results

Afra Zomorodian, Christopher F. Beaulieu, Padma Sundaram, 2008, Medical Image Anal..

Artifacts and illusions in surface and volume rendering

Sally L. Wood, Sandy Napel, 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Radiomics Approach to Analyze Cardiac Alterations in Hypertension

Oscar Camara, Miguel Ángel González Ballester, Steffen E. Petersen, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Optimizing the choice of an image-interpolating function

Chye Hwang Yan, Sandy Napel, 1996, Medical Imaging.

Automated coronary CT angiography plaque-lumen segmentation

Wesley D. Turner, Geoffrey D. Rubin, Harvey E. Cline, 2009, Medical Imaging.

Quantified registration error versus the accuracy of registered surfaces for a multimodality surface-based registration system

Paul F. Hemler, John R. Adler, Thilaka S. Sumanaweera, 1996, Medical Imaging.

Content-based image retrieval in radiology: analysis of variability in human perception of similarity

Daniel L Rubin, Sandy Napel, Jarrett Rosenberg, 2015, Journal of medical imaging.

Comparison and evaluation of retrospective intermodality image registration techniques

Benoit M. Dawant, Colin Studholme, Robert M. Kessler, 1996, Medical Imaging.

Grey value correlation techniques used for automatic matching of CT and MR brain and spine images

Paul F. Hemler, Evert-Jan D. Pol, John R. Adler, 1994, Other Conferences.

Adaptive border marching algorithm: Automatic lung segmentation on chest CT images

Geoffrey D. Rubin, Jiantao Pu, Sandy Napel, 2008, Comput. Medical Imaging Graph..

Knowledge-based interpolation of curves: Application to femoropopliteal arterial centerline restoration

Sandy Napel, Jarrett Rosenberg, Dominik Fleischmann, 2007, Medical Image Anal..

On the Feasibility of Predicting Radiological Observations from Computational Imaging Features of Liver Lesions in CT Scans

Yi Liu, Daniel L. Rubin, Christopher F. Beaulieu, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Fast spin echo image distortion correction for MR-guided stereotactic pallidotomy

Paul F. Hemler, Sandy Napel, Gary H. Glover, 1996, Medical Imaging.

A System for Multimodality Image Fusion of the Spine

Paul F. Hemler, John Drace, Thilaka S. Sumanaweera, 1994 .

Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines

Daniel L Rubin, Sandy Napel, Sebastian Echegaray, 2020, Journal of medical imaging.

An improved algorithm for femoropopliteal artery centerline restoration using prior knowledge of shapes and image space data.

Matus Straka, Sandy Napel, Jarrett Rosenberg, 2008, Medical physics.

A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System

Ronald M. Summers, Daniel L. Rubin, Aya Kamaya, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations

Daniel L. Rubin, Camille Kurtz, Christopher F. Beaulieu, 2014, J. Biomed. Informatics.

On combining image-based and ontological semantic dissimilarities for medical image retrieval applications

Daniel L. Rubin, Adrien Depeursinge, Camille Kurtz, 2014, Medical Image Anal..

Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma

Olivier Gevaert, Aya Kamaya, Sandy Napel, 2015, Journal of medical imaging.

Computer aided interpretation of medical images

Sandy Napel, David S. Paik, S. Napel, 2002 .

Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images

Daniel L. Rubin, Sebastian Echegaray, Sandy Napel, 2018, Journal of Digital Imaging.

Determining cardiac velocity fields and intraventricular pressure distribution from a sequence of ultrafast CT cardiac images

Richard M. Leahy, Samuel Moon-Ho Song, Douglas P. Boyd, 1994, IEEE Trans. Medical Imaging.

Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine

Maryellen Giger, Sandy Napel, M. Giger, 2015, Journal of medical imaging.

Medical Image Segmentation Using Analysis of Isolabel-Contour Maps

Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel, 2000, IEEE Trans. Medical Imaging.

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

Petia Radeva, Laura Igual, Daniel L. Rubin, 2017, IEEE Journal of Biomedical and Health Informatics.

Managing Biomedical Image Metadata for Search and Retrieval of Similar Images

Daniel L. Rubin, Christopher F. Beaulieu, Sandy Napel, 2011, Journal of Digital Imaging.

Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.

Ilke Tunali, Matthew B Schabath, Sandy Napel, 2019, Medical physics.

Fast reprojection of volume data

Brian K. Rutt, Sandy Napel, S. Dunne, 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.

Rotational Roadmapping: A New Image-Based Navigation Technique for the Interventional Room

Sandy Napel, Markus Kukuk, 2007, MICCAI.

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI pdf

Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, 2017, STACOM@MICCAI.

Serial Scanning and Registration of High Resolution Quantitative Computed Tomography Volume Scans for the Determination of Local Bone Density Changes

Sandy Napel, Robert T. Whalen, Chye H. Yan, 1996 .

Thin client architecture in support of remote radiology learning

Geoffrey D. Rubin, Sandy Napel, David S. Paik, 2009, SAC '09.

Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy

Carlo Tomasi, Burak Acar, Christopher F. Beaulieu, 2001, MICCAI.

Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study

Olivier Gevaert, Aya Kamaya, Sandy Napel, 2017, Journal of medical imaging.

Automatic Annotation of Radiological Observations in Liver CT Images

Yi Liu, Daniel L. Rubin, Christopher F. Beaulieu, 2012, AMIA.

Content-Based Image Retrieval in Radiology: Current Status and Future Directions

Hayit Greenspan, Daniel L. Rubin, Burak Acar, 2010, Journal of Digital Imaging.

Phase unwrapping of MR phase images using Poisson equation

Gary H. Glover, Norbert J. Pelc, Samuel Moon-Ho Song, 1995, IEEE Trans. Image Process..

Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge, Sandy Napel, Daniel Rubin, 2014, IEEE Transactions on Medical Imaging.

Heat diffusion based detection of colonic polyps in CT colonography

Ender Konukoglu, Burak Acar, Christopher F. Beaulieu, 2005, 2005 13th European Signal Processing Conference.

Surface Rendering Versus Volume Rendering In Medical Imaging: Techniques And Applications

William E. Lorensen, Ron Kikinis, John Flynn, 1996, Proceedings of Seventh Annual IEEE Visualization '96.

Modeling Perceptual Similarity Measures in CT Images of Focal Liver Lesions

Daniel L. Rubin, Christopher F. Beaulieu, Sandy Napel, 2013, Journal of Digital Imaging.

Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study

Ender Konukoglu, Burak Acar, Christopher F. Beaulieu, 2007, IEEE Transactions on Medical Imaging.

Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming

Joong-Ho Won, Sungroh Yoon, Yongkweon Jeon, 2013, IEEE Transactions on Visualization and Computer Graphics.

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Joyoni Dey, Geoffrey D. Rubin, Burak Acar, 2022 .

Semiautomated segmentation of blood vessels using ellipse-overlap criteria: method and comparison to manual editing.

Smadar Shiffman, Sandy Napel, Geoffrey D Rubin, 2003, Medical physics.

Longitudinal sampling and aliasing in spiral CT

Geoffrey D. Rubin, Chye Hwang Yan, Sandy Napel, 1999, IEEE Transactions on Medical Imaging.

A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography

Carlo Tomasi, Burak Acar, Christopher F. Beaulieu, 2001, IEEE Transactions on Medical Imaging.

EPI distortion correction for MR-DTI by using texture memory on graphics hardware

Yoshitaka Masutani, Shigeki Aoki, Anthony J. Sherbondy, 2003, CARS.

A Learning Method for Automated Polyp Detection

Carlo Tomasi, Burak Acar, Christopher F. Beaulieu, 2001, MICCAI.

Efficient Data Archive And Rapid Image Analysis For High Speed CT

Robert G. Gould, Douglas P. Boyd, Sandy Napel, 1986, Other Conferences.

Edge displacement field-based classification for improved detection of polyps in CT colonography

Carlo Tomasi, Burak Acar, Christopher F. Beaulieu, 2002, IEEE Transactions on Medical Imaging.

A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images

Daniel L. Rubin, Christopher F. Beaulieu, Sandy Napel, 2012, Journal of Digital Imaging.

Reconstruction algorithm for polychromatic CT imaging: application to beam hardening correction

Chye Hwang Yan, Sandy Napel, Robert T. Whalen, 2000, IEEE Transactions on Medical Imaging.

Assessment of an optical flow field-based polyp detector for CT colonography

Carlo Tomasi, Christopher F. Beaulieu, Sandy Napel, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Hybrid Method for Distance Metric Learning pdf

Daniel L. Rubin, Yi-Hao Kao, Benjamin Van Roy, 2012, ArXiv.

Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features

Michael McNitt-Gray, Sandy Napel, Sarah A. Mattonen, 2020, Tomography.

Fast volume segmentation with simultaneous visualization using programmable graphics hardware

Anthony J. Sherbondy, Sandy Napel, Michael Houston, 2003, IEEE Visualization, 2003. VIS 2003..

A Rapid Segmentation-Insensitive “Digital Biopsy” Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non–Small Cell Lung Cancer

Olivier Gevaert, Sandy Napel, Sebastian Echegaray, 2016, Tomography.

Lower extremity CT angiography (CTA): initial evaluation of a knowledge-based centerline estimation algorithm for femoro-popliteal artery (FPA) occlusions.

Matus Straka, Sandy Napel, Jarrett Rosenberg, 2009, Academic radiology.

Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration

Geoffrey D. Rubin, Shaohua Sun, Sandy Napel, 2008, Applied Intelligence.

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

Lubomir M. Hadjiiski, Gabriel Bernardino, Hichem Frigui, 2021, IEEE Transactions on Medical Imaging.

Quantitative image features from radiomic biopsy differentiate oncocytoma from chromophobe renal cell carcinoma

Sandy Napel, Domenico Mastrodicasa, Akshay Jaggi, 2021, Journal of medical imaging.

Pipelines in Image Analysis

Sandy Napel, Ashish Sharma, Annie (Ping) Gu, 2021, Quantitative Imaging in Medicine.

The Medical Segmentation Decathlon pdf

Yan Wang, Akshay Pai, Daguang Xu, 2021, ArXiv.

ConTrack: finding the most likely pathways between brain regions using diffusion tractography.

Anthony J. Sherbondy, Sandy Napel, Brian A Wandell, 2008, Journal of vision.

Improved Speed of Bone Removal in Computed Tomographic Angiography Using Automated Targeted Morphological Separation: Method and Evaluation in Computed Tomographic Angiography of Lower Extremity Occlusive Disease

Bhargav Raman, Sandy Napel, Raghav Raman, 2008, Journal of computer assisted tomography.

CT colonography: does improved z resolution help computer-aided polyp detection?

Sandy Napel, David S Paik, Christopher F Beaulieu, 2003, Medical physics.

Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study.

Ruijiang Li, Daniel L Rubin, Sandy Napel, 2016, International journal of radiation oncology, biology, physics.

Virtual Endoscopy of the Paranasal Sinuses Using Perspective Volume Rendered Helical Sinus Computed Tomography

Sandy Napel, Helmut Ringl, S. Napel, 1997, The Laryngoscope.

Carotid disease: automated analysis with cardiac-gated three-dimensional US technique and preliminary results.

Sandy Napel, David S Paik, John A Hossack, 2002, Radiology.

Uncluttered single-image visualization of the abdominal aortic vessel tree: method and evaluation.

Joong-Ho Won, Sandy Napel, Jarrett Rosenberg, 2009, Medical physics.

Medical diagnostic ultrasound system and method for flow analysis

John A. Hossack, Thilaka S. Sumanaweera, Sandy Napel, 2003 .

Abstract 5561: Radiogenomic analysis indicates MR images are potentially predictive of EGFR mutation status in glioblastoma multiforme

Olivier Gevaert, Daniel L. Rubin, Sandy Napel, 2012 .

[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non–Small Cell Lung Cancer

Sandy Napel, Sebastian Echegaray, Guido A. Davidzon, 2019, Tomography.

non – small cell lung cancer : Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data — Methods and Preliminary Results 1

Olivier Gevaert, Daniel L. Rubin, Sandy Napel, 2012 .

Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval.

Hayit Greenspan, Sandy Napel, Daniel Rubin, 2012, Medical physics.

Advanced 3D Display Methods

Christopher F. Beaulieu, Sandy Napel, David S. Paik, 2005 .

Femoropopliteal artery centerline interpolation using contralateral shape.

Matus Straka, Sandy Napel, Jarrett Rosenberg, 2007, Medical physics.

CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance.

Sandy Napel, Geoffrey D Rubin, Dominik Fleischmann, 2014, Radiology.

Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results.

Olivier Gevaert, Daniel L Rubin, Sandy Napel, 2012, Radiology.

Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer

Ruijiang Li, Daniel L Rubin, Sandy Napel, 2018, Breast Cancer Research.

Registration of Supine and Prone CT Colonography Data: Method and Evaluation

Burak Acar, Christopher F. Beaulieu, Sandy Napel, 2005 .

Semi‐automated pulmonary nodule interval segmentation using the NLST data

Lubomir M. Hadjiiski, Kenny H. Cha, Dmitry Goldgof, 2018, Medical physics.

Visualizing three‐dimensional flow with simulated streamlines and three‐dimensional phase‐contrast MR imaging

Richard Frayne, Sandy Napel, S. Napel, 1992, Journal of magnetic resonance imaging : JMRI.

Automated generation of curved planar reformations from volume data: method and evaluation.

Sandy Napel, Raghav Raman, Geoffrey D Rubin, 2002, Radiology.

Characterizing search, recognition, and decision in the detection of lung nodules on CT scans: elucidation with eye tracking.

Martin Tall, Sandy Napel, Brian Harrawood, 2015, Radiology.

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures

Subha Madhavan, Joel Saltz, Anant Madabhushi, 2014, Translational oncology.

Registration of lung nodules using a semi-rigid model: method and preliminary results.

Sandy Napel, Geoffrey D Rubin, Feng Zhuge, 2007, Medical physics.

Automated temporal tracking and segmentation of lymphoma on serial CT examinations.

Hayit Greenspan, Daniel L Rubin, Sandy Napel, 2011, Medical physics.

Non–Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications

Olivier Gevaert, Daniel L Rubin, Sandy Napel, 2017, Radiology.

Curved-slab maximum intensity projection: method and evaluation.

Sandy Napel, Raghav Raman, Geoffrey D Rubin, 2003, Radiology.

A directional distance aided method for medical image segmentation.

Sandy Napel, Geoffrey Rubin, Feng Zhuge, 2007, Medical physics.

A radiogenomic dataset of non-small cell lung cancer

Olivier Gevaert, Daniel L Rubin, Sandy Napel, 2018, Scientific Data.

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

Robert J. Gillies, Sandy Napel, Hugo J. W. L. Aerts, 2018, Cancer.

Flattening the Abdominal Aortic Tree for Effective Visualization

Joong-Ho Won, Geoffrey D. Rubin, Sandy Napel, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

"Flying through" and "flying around" a PET/CT scan: Pilot study and development of 3D integrated 18F-FDG PET/CT for virtual bronchoscopy and colonoscopy.

Sanjiv S Gambhir, Sandy Napel, Christopher F Beaulieu, 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy.

Ruijiang Li, Juheon Lee, Daniel L Rubin, 2018, Radiology.

Semiautomated quantification of the mass and distribution of vascular calcification with multidetector CT: method and evaluation.

Bhargav Raman, Sandy Napel, Raghav Raman, 2008, Radiology.

Identifying the human optic radiation using diffusion imaging and fiber tractography.

Anthony J. Sherbondy, Sandy Napel, Brian A Wandell, 2008, Journal of vision.

Targeted 2D/3D registration using ray normalization and a hybrid optimizer.

Joyoni Dey, Sandy Napel, S. Napel, 2006, Medical physics.

Alternative input devices for efficient navigation of large CT angiography data sets.

Terry Winograd, Sandy Napel, Geoffrey D Rubin, 2005, Radiology.

Projection presaturation. II. Single-shot localization of multiple regions of interest

Brian K. Rutt, Sandy Napel, S. Napel, 1990 .

Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer.

Olivier Gevaert, Daniel L Rubin, Sandy Napel, 2012, Cancer research.