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Nabile M. Safdar
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2020 – today
- 2023
- [j16]Pradeeban Kathiravelu
, Nan Li
Visualizing Scanner Utilization From MRI Metadata and Clinical Data. Computer 56(8): 68-76 (2023) - [j15]Roger Gerard
Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. J. Digit. Imaging 36(1): 1-10 (2023) - [j14]Carson A. Wick, Srini Tridandapani, Marta E. Heilbrun, Tarek Hanna, Nabile M. Safdar, Pamela T. Bhatti:
Lessons Learned in Change Management in Deploying Novel Informatics Solutions: Experience Implementing a Point-of-Care Patient Photography System with Radiography. J. Imaging Inform. Medicine 36(5): 1954-1964 (2023) - 2021
- [j13]Pradeeban Kathiravelu
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. J. Digit. Imaging 34(4): 1005-1013 (2021) - 2020
- [j12]Valeria Makeeva
Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. J. Digit. Imaging 33(2): 547-553 (2020)
2010 – 2019
- 2019
- [j11]Brianna L. Vey
A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. J. Digit. Imaging 32(1): 91-96 (2019) - 2016
- [j10]Meredith Bowen, Adam Prater, Nabile M. Safdar, Seena Dehkharghani
Utilization of Workflow Process Maps to Analyze Gaps in Critical Event Notification at a Large, Urban Hospital. J. Digit. Imaging 29(4): 420-424 (2016) - [j9]Juan J. Cerrolaza, Nabile M. Safdar, Elijah Biggs, James Jago, Craig A. Peters
Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes. IEEE Trans. Medical Imaging 35(11): 2393-2402 (2016) - 2015
- [c17]Juan J. Cerrolaza, Enrico Grisan
Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis. EMBC 2015: 157-160 - [c16]Juan J. Cerrolaza, Jennifer Q. Peng, Nabile M. Safdar, Laurie Conklin, Raymond W. Sze, Marius George Linguraru:
Quantification, validation, and follow-up of small bowel motility in Crohn's disease. Computer-Aided Diagnosis 2015: 94141D - 2014
- [j8]Carlos S. Mendoza, Nabile M. Safdar, Kazunori Okada, Emmarie Myers, Gary F. Rogers, Marius George Linguraru:
Personalized assessment of craniosynostosis via statistical shape modeling. Medical Image Anal. 18(4): 635-646 (2014) - [c15]Reza Monfaredi, Reza Seifabadi, Iulian Iordachita, Raymond W. Sze, Nabile M. Safdar, Karun Sharma, Stanley Fricke, Axel Krieger, Kevin Cleary:
A prototype body-mounted MRI-compatible robot for needle guidance in shoulder arthrography. BioRob 2014: 40-45 - [c14]Qian Zhao, Nabile M. Safdar, Glenna Yu, Emmarie Myers, Antony Koroulakis, Chunzhe Duan
Cartilage estimation in noncontrast thoracic CT. ISBI 2014: 409-412 - [c13]Juan J. Cerrolaza, Nabile M. Safdar, Craig A. Peters, Emmarie Myers, James Jago, Marius George Linguraru:
Segmentation of kidney in 3D-ultrasound images using Gabor-based appearance models. ISBI 2014: 633-636 - [c12]Qian Zhao, Nabile M. Safdar, Glenna Yu, Emmarie Myers, Anthony Sandler
Estimation of cartilaginous region in noncontrast CT of the chest. Computer-Aided Diagnosis 2014: 90350N - [c11]Juan J. Cerrolaza, Craig A. Peters
Ultrasound based computer-aided-diagnosis of kidneys for pediatric hydronephrosis. Computer-Aided Diagnosis 2014: 90352T - [c10]Xue Yang, Juan J. Cerrolaza, Chunzhe Duan
Weighted Partitioned Active Shape Model for Optic Pathway Segmentation in MRI. CLIP@MICCAI 2014: 109-117 - [c9]Qian Zhao, Nabile M. Safdar, Chunzhe Duan
Chest Modeling and Personalized Surgical Planning for Pectus Excavatum. MICCAI (1) 2014: 512-519 - 2013
- [j7]Ganesh Saiprasad, Chein-I Chang, Nabile M. Safdar, Naomi Saenz, Eliot L. Siegel:
Adrenal Gland Abnormality Detection Using Random Forest Classification. J. Digit. Imaging 26(5): 891-897 (2013) - [c8]Carlos S. Mendoza, Xin Kang, Nabile M. Safdar, Emmarie Myers, Craig A. Peters
Kidney segmentation in ultrasound via genetic initialization and Active Shape Models with rotation correction. ISBI 2013: 69-72 - [c7]Carlos S. Mendoza, Nabile M. Safdar, Emmarie Myers, Tanakorn Kittisarapong, Gary F. Rogers, Marius George Linguraru:
An optimal set of landmarks for metopic craniosynostosis diagnosis from shape analysis of pediatric CT scans of the head. Computer-Aided Diagnosis 2013: 86702T - [c6]Juan J. Cerrolaza, Nabile M. Safdar, Raymond W. Sze, Marius George Linguraru:
MR Enterography Image Fusion in Small Bowel Analysis. CLIP 2013: 48-56 - [c5]Carlos S. Mendoza, Xin Kang, Nabile M. Safdar, Emmarie Myers, Aaron D. Martin, Enrico Grisan
Automatic Analysis of Pediatric Renal Ultrasound Using Shape, Anatomical and Image Acquisition Priors. MICCAI (3) 2013: 259-266 - 2012
- [c4]Carlos S. Mendoza, Nabile M. Safdar, Emmarie Myers, Tanakorn Kittisarapong, Gary F. Rogers, Marius George Linguraru:
Computer-Based Quantitative Assessment of Skull Morphology for Craniosynostosis. CLIP 2012: 98-105 - 2011
- [j6]Michael Chen, Nabile M. Safdar, Paul G. Nagy
Should Medical Schools Incorporate Formal Training in Informatics? J. Digit. Imaging 24(1): 1-5 (2011) - [j5]James Y. Chen, F. Jacob Seagull
Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation? J. Digit. Imaging 24(1): 135-141 (2011) - [j4]Omer Abdulrehman Awan, Frans van Wagenberg, Mark Daly, Nabile M. Safdar, Paul G. Nagy
Tracking Delays in Report Availability Caused by Incorrect Exam Status with Web-Based Issue Tracking: A Quality Initiative. J. Digit. Imaging 24(2): 300-307 (2011)
2000 – 2009
- 2009
- [j3]James Y. Chen, Paras Lakhani, Nabile M. Safdar, Paul G. Nagy
Letter to the Editor Re: Voice Recognition Dictation: Radiologist as Transcriptionist and Improvement of Report Workflow and Productivity Using Speech Recognition - A Follow-up Study. J. Digit. Imaging 22(6): 560-561 (2009) - [j2]Bharath Ramakrishna, Weimin Liu
An Automatic Computer-Aided Detection System for Meniscal Tears on Magnetic Resonance Images. IEEE Trans. Medical Imaging 28(8): 1308-1316 (2009) - 2008
- [c3]Bharath Ramakrishna, Ganesh Saiprasad, Nabile M. Safdar, Khan M. Siddiqui, Chein-I Chang, Eliot L. Siegel:
A concurrent computer aided detection (CAD) tool for articular cartilage disease of the knee on MR imaging using active shape models. Computer-Aided Diagnosis 2008: 69153G - [c2]Bharath Ramakrishna, Nabile M. Safdar, Khan M. Siddiqui, Woojin Kim, Weimin Liu
Automated discovery of meniscal tears on MR imaging: a novel high-performance computer-aided detection application for radiologists. Computer-Aided Diagnosis 2008: 691531 - 2007
- [c1]Bharath Ramakrishna, Weimin Liu
Automatic CAD of meniscal tears on MR imaging: a morphology-based approach. Computer-Aided Diagnosis 2007: 651437 - 2006
- [j1]Christopher Toland, Christopher Meenan, Michael Toland, Nabile M. Safdar, Peter Vandermeer, Paul G. Nagy
A Suggested Classification Guide for PACS Client Applications: The Five Degrees of Thickness. J. Digit. Imaging 19(S-1): 78-83 (2006)
Coauthor Index
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