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ORCIDSandy Napel
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2020 – today
- 2021
[j29]Yoganand Balagurunathan
, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021)- [i7]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - 2020
- [j28]Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert:
A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. Nat. Mach. Intell. 2(5): 274-282 (2020) - [i6]Masoud Badiei Khuzani, Yinyu Ye, Sandy Napel, Lei Xing:
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions. CoRR abs/2006.13330 (2020) - [i5]Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A radiomics approach to analyze cardiac alterations in hypertension. CoRR abs/2007.10717 (2020)
2010 – 2019
- 2019
- [c22]Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. ISBI 2019: 640-643 - [i4]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i3]Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. CoRR abs/1909.11854 (2019) - 2018
- [j27]Sebastian Echegaray, Shaimaa Bakr, Daniel L. Rubin, Sandy Napel:
Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images. J. Digit. Imaging 31(4): 403-414 (2018) - [j26]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - 2017
- [j25]Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin:
Adaptive local window for level set segmentation of CT and MRI liver lesions. Medical Image Anal. 37: 46-55 (2017) - [j24]Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel:
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J. Biomed. Health Informatics 21(1): 48-55 (2017) - [c21]Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. STACOM@MICCAI 2017: 82-90 - 2016
- [j23]Jayashree Kalpathy-Cramer, Binsheng Zhao, Dmitry B. Goldgof, Yuhua Gu, Xingwei Wang, Hao Yang, Yongqiang Tan, Robert J. Gillies, Sandy Napel:
A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. J. Digit. Imaging 29(4): 476-487 (2016) - [i2]Assaf Hoogi, Christopher F. Beaulieu, Guilherme M. Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin:
Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions. CoRR abs/1606.03765 (2016) - 2014
- [j22]Camille Kurtz, Christopher F. Beaulieu, Sandy Napel, Daniel L. Rubin:
A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations. J. Biomed. Informatics 49: 227-244 (2014) - [j21]Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu, Daniel L. Rubin:
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications. Medical Image Anal. 18(7): 1082-1100 (2014) - [j20]Adrien Depeursinge, Camille Kurtz, Christopher F. Beaulieu, Sandy Napel, Daniel L. Rubin:
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT. IEEE Trans. Medical Imaging 33(8): 1669-1676 (2014) - 2013
- [j19]Jessica S. Faruque, Daniel L. Rubin, Christopher F. Beaulieu, Sandy Napel:
Modeling Perceptual Similarity Measures in CT Images of Focal Liver Lesions. J. Digit. Imaging 26(4): 714-720 (2013) - [j18]Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin, Sandy Napel:
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. 19(1): 81-93 (2013) - 2012
- [j17]Jiajing Xu, Jessica S. Faruque, Christopher F. Beaulieu, Daniel L. Rubin, Sandy Napel:
A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images. J. Digit. Imaging 25(1): 121-128 (2012) - [c20]Francisco Gimenez, Jiajing Xu, Yi Liu, Tiffany Ting Liu, Christopher F. Beaulieu, Daniel L. Rubin, Sandy Napel:
Automatic Annotation of Radiological Observations in Liver CT Images. AMIA 2012 - [i1]Yi-Hao Kao, Benjamin Van Roy, Daniel L. Rubin, Jiajing Xu, Jessica S. Faruque, Sandy Napel:
A Hybrid Method for Distance Metric Learning. CoRR abs/1206.7112 (2012) - 2011
- [j16]Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar:
Content-Based Image Retrieval in Radiology: Current Status and Future Directions. J. Digit. Imaging 24(2): 208-222 (2011) - [j15]Daniel Korenblum, Daniel L. Rubin, Sandy Napel, Cesar Rodriguez, Christopher F. Beaulieu:
Managing Biomedical Image Metadata for Search and Retrieval of Similar Images. J. Digit. Imaging 24(4): 739-748 (2011) - [j14]Bhargav Raman, Raghav Raman, Geoffrey D. Rubin, Sandy Napel:
Automated Tracing of the Adventitial Contour of Aortoiliac and Peripheral Arterial Walls in CT Angiography (CTA) to Allow Calculation of Non-calcified Plaque Burden. J. Digit. Imaging 24(6): 1078-1086 (2011) - [c19]Jessica S. Faruque, Daniel L. Rubin, Christopher F. Beaulieu, Jarrett Rosenberg, Aya Kamaya, Grace Tye, Sandy Napel, Ronald M. Summers:
A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System. HISB 2011: 158-165 - [c18]Francisco Gimenez, Jiajing Xu, Yi Liu, Tiffany Ting Liu, Christopher F. Beaulieu, Daniel L. Rubin, Sandy Napel:
On the Feasibility of Predicting Radiological Observations from Computational Imaging Features of Liver Lesions in CT Scans. HISB 2011: 346-350
2000 – 2009
- 2009
- [c17]Harvey E. Cline, Karthik Krishnan, Sandy Napel, Geoffrey D. Rubin, Wesley D. Turner, Ricardo S. Avila:
Automated coronary CT angiography plaque-lumen segmentation. Medical Imaging: Computer-Aided Diagnosis 2009: 726003 - [c16]Florian F. Schmitzberger, Justus E. Roos, Sandy Napel, Geoffrey D. Rubin, David S. Paik:
Thin client architecture in support of remote radiology learning. SAC 2009: 842-846 - 2008
- [j13]Shaohua Sun, Feng Zhuge, Jarrett Rosenberg, Robert M. Steiner, Geoffrey D. Rubin, Sandy Napel:
Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration. Appl. Intell. 28(1): 83-99 (2008) - [j12]Jiantao Pu, Justus E. Roos, Chin A. Yi, Sandy Napel, Geoffrey D. Rubin, David S. Paik:
Adaptive border marching algorithm: Automatic lung segmentation on chest CT images. Comput. Medical Imaging Graph. 32(6): 452-462 (2008) - [j11]Padma Sundaram, Afra Zomorodian, Christopher F. Beaulieu, Sandy Napel:
Colon polyp detection using smoothed shape operators: Preliminary results. Medical Image Anal. 12(2): 99-119 (2008) - 2007
- [j10]Tejas Rakshe, Dominik Fleischmann, Jarrett Rosenberg, Justus E. Roos, Sandy Napel:
Knowledge-based interpolation of curves: Application to femoropopliteal arterial centerline restoration. Medical Image Anal. 11(2): 157-168 (2007) - [j9]Ender Konukoglu, Burak Acar, David S. Paik, Christopher F. Beaulieu, Jarrett Rosenberg, Sandy Napel:
Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study. IEEE Trans. Medical Imaging 26(12): 1649-1656 (2007) - [c15]Markus Kukuk, Sandy Napel:
Rotational Roadmapping: A New Image-Based Navigation Technique for the Interventional Room. MICCAI (2) 2007: 636-643 - 2006
- [c14]Joong-Ho Won, Geoffrey D. Rubin, Sandy Napel:
Flattening the Abdominal Aortic Tree for Effective Visualization. EMBC 2006: 3345-3348 - 2005
- [c13]Ender Konukoglu, Burak Acar, David S. Paik, Christopher F. Beaulieu, Sandy Napel:
Heat diffusion based detection of colonic polyps in CT colonography. EUSIPCO 2005: 1-4 - 2004
- [j8]David S. Paik, Christopher F. Beaulieu, Geoffrey D. Rubin, Burak Acar, R. Brooke Jeffrey Jr., Judy Yee, Joyoni Dey, Sandy Napel:
Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. IEEE Trans. Medical Imaging 23(6): 661-675 (2004) - 2003
- [c12]Yoshitaka Masutani, Takeharu Yoshikawa, Shigeki Aoki, Kuni Ohtomo, Anthony J. Sherbondy, Sandy Napel:
EPI distortion correction for MR-DTI by using texture memory on graphics hardware. CARS 2003: 1315 - [c11]Anthony J. Sherbondy, Michael Houston, Sandy Napel:
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware. IEEE Visualization 2003: 171-176 - 2002
- [j7]Burak Acar, Christopher F. Beaulieu, Salih Burak Göktürk, Carlo Tomasi, David S. Paik, R. Brooke Jeffrey Jr., Judy Yee, Sandy Napel:
Edge Displacement Field-Based Classification for Improved Detection of Polyps in CT Colonography. IEEE Trans. Medical Imaging 21(11): 1461-1467 (2002) - 2001
- [j6]Salih Burak Göktürk, Carlo Tomasi, Burak Acar, Christopher F. Beaulieu, David S. Paik, R. Brooke Jeffrey Jr., Judy Yee, Sandy Napel:
A Statistical 3D Pattern Processing Method for Computer Aided Detection of Polyps in CT Colonography. IEEE Trans. Medical Imaging 20(12): 1251-1260 (2001) - [c10]Salih Burak Göktürk, Carlo Tomasi, Burak Acar, David S. Paik, Christopher F. Beaulieu, Sandy Napel:
A Learning Method for Automated Polyp Detection. MICCAI 2001: 85-93 - [c9]Burak Acar, Sandy Napel, David S. Paik, Salih Burak Göktürk, Carlo Tomasi, Christopher F. Beaulieu:
Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy. MICCAI 2001: 637-644 - 2000
- [j5]Chye Hwang Yan, Robert T. Whalen, Gary S. Beaupré, Shin Yi Yen, Sandy Napel:
Reconstruction Algorithm for Poly-Chromatic CT Imaging: Application to Beam Hardening Correction. IEEE Trans. Medical Imaging 19(1): 1-11 (2000) - [j4]Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel:
Medical Image Segmentation Using Analysis of Isolabel-Contour Maps. IEEE Trans. Medical Imaging 19(11): 1064-1074 (2000)
1990 – 1999
- 1999
- [j3]Shin Yi Yen, Chye Hwang Yan, Geoffrey D. Rubin, Sandy Napel:
Longitudinal Sampling and Aliasing in Spiral CT. IEEE Trans. Medical Imaging 18(18): 43-58 (1999) - 1996
- [c8]Paul F. Hemler, Thilaka S. Sumanaweera, Petra A. van den Elsen, Sandy Napel, John R. Adler Jr.:
Quantified registration error versus the accuracy of registered surfaces for a multimodality surface-based registration system. Medical Imaging: Image Processing 1996 - [c7]Jay B. West, J. Michael Fitzpatrick, Matthew Yang Wang, Benoit M. Dawant, Calvin R. Maurer Jr., Robert M. Kessler, Robert J. Maciunas, Christian Barillot, Didier Lemoine, André M. F. Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra A. van den Elsen, Paul F. Hemler, Sandy Napel, Thilaka S. Sumanaweera, Beth A. Harkness, Derek L. G. Hill, Colin Studholme, Grégoire Malandain, Xavier Pennec, Marilyn E. Noz, Gerald Q. Maguire Jr., Michael Pollack, Charles A. Pelizzari, Richard A. Robb, Dennis P. Hanson, Roger P. Woods:
Comparison and evaluation of retrospective intermodality image registration techniques. Medical Imaging: Image Processing 1996 - [c6]Chye Hwang Yan, Sandy Napel:
Optimizing the choice of an image-interpolating function. Medical Imaging: Image Processing 1996 - [c5]Ramin Shahidi, V. Argiro, Sandy Napel, L. Gray, H. Page McAdams, Geoffrey D. Rubin, Christopher F. Beaulieu, R. Brooke Jeffrey Jr., A. Johnson:
Assessment of Several Virtual Endoscopy Techniques Using Computed Tomography and Perspective Volume Rendering. VBC 1996: 521-528 - [c4]William E. Lorensen, Ron Kikinis, Sandy Napel, Arie E. Kaufman, John Flynn:
Surface Rendering versus Volume Rendering in Medical Imaging. IEEE Visualization 1996: 439-440 - [c3]Shin Yi Yen, Sandy Napel, Geoffrey D. Rubin:
Fast Sliding Thin Slab Volume Visualization. VVS 1996: 79-86 - 1995
- [j2]Samuel Moon-Ho Song, Sandy Napel, Norbert J. Pelc, Gary H. Glover:
Phase unwrapping of MR phase images using Poisson equation. IEEE Trans. Image Process. 4(5): 667-676 (1995) - 1994
- [j1]Samuel Moon-Ho Song, Richard M. Leahy, Douglas P. Boyd, Bruce H. Brundage, Sandy Napel:
Determining cardiac velocity fields and intraventricular pressure distribution from a sequence of ultrafast CT cardiac images. IEEE Trans. Medical Imaging 13(2): 386-397 (1994) - [c2]Paul F. Hemler, Thilaka S. Sumanaweera, Petra A. van den Elsen, Sandy Napel, John R. Adler Jr.:
A system for multimodality image fusion. CBMS 1994: 335-340 - [c1]Petra A. van den Elsen, Evert-Jan D. Pol, Thilaka S. Sumanaweera, Paul F. Hemler, Sandy Napel, John R. Adler Jr.:
Grey value correlation techniques used for automatic matching of CT and MR brain and spine images. VBC 1994
Coauthor Index
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