| Year |
Citation |
Score |
| 2014 |
Agner SC, Rosen MA, Englander S, Tomaszewski JE, Feldman MD, Zhang P, Mies C, Schnall MD, Madabhushi A. Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study. Radiology. 272: 91-9. PMID 24620909 DOI: 10.1148/Radiol.14121031 |
0.659 |
|
| 2014 |
Hwuang E, Rusu M, Karthigeyan S, Agner SC, Sparks R, Shih N, Tomaszewski JE, Rosen M, Feldman M, Madabhushi A. Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9034. DOI: 10.1117/12.2044317 |
0.612 |
|
| 2013 |
Agner SC, Xu J, Madabhushi A. Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging. Medical Physics. 40: 032305. PMID 23464337 DOI: 10.1118/1.4790466 |
0.599 |
|
| 2011 |
Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 35: 506-14. PMID 21333490 DOI: 10.1016/J.Compmedimag.2011.01.008 |
0.709 |
|
| 2011 |
Agner SC, Soman S, Libfeld E, McDonald M, Thomas K, Englander S, Rosen MA, Chin D, Nosher J, Madabhushi A. Textural kinetics: A novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification Journal of Digital Imaging. 24: 446-463. PMID 20508965 DOI: 10.1007/S10278-010-9298-1 |
0.619 |
|
| 2011 |
Agner SC, Xu J, Rosen M, Karthigeyan S, Englander S, Madabhushi A. Spectral embedding based active contour (SEAC): Application to breast lesion segmentation on DCE-MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.878218 |
0.615 |
|
| 2010 |
Basavanhally AN, Ganesan S, Agner S, Monaco JP, Feldman MD, Tomaszewski JE, Bhanot G, Madabhushi A. Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology. Ieee Transactions On Bio-Medical Engineering. 57: 642-53. PMID 19884074 DOI: 10.1109/Tbme.2009.2035305 |
0.718 |
|
| 2010 |
Madabhushi A, Basavanhally A, Doyle S, Agner S, Lee G. Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1415-1418. DOI: 10.1109/ISBI.2010.5490264 |
0.731 |
|
| 2009 |
Agner SC, Xu J, Fatakdawala H, Ganesan S, Madabhushi A, Englander S, Rosen M, Thomas K, Schnall M, Feldman M, Tomaszewski J. Segmentation and classification of triple negative breast cancers using dce-mri Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 1227-1230. DOI: 10.1109/ISBI.2009.5193283 |
0.6 |
|
| 2008 |
Agner SC, Soman S, Libfeld E, McDonald M, Rosen MA, Schnall MD, Chin D, Nosher J, Madabhushi A. Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.770920 |
0.543 |
|
| 2008 |
Doyle S, Agner S, Madabhushi A, Feldman M, Tomaszewski J. Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 496-499. DOI: 10.1109/ISBI.2008.4541041 |
0.718 |
|
| 2008 |
Naik S, Doyle S, Agner S, Madabhushi A, Feldman M, Tomaszewski J. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 284-287. DOI: 10.1109/ISBI.2008.4540988 |
0.708 |
|
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