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Syed M. S. Reza
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2020 – today
- 2020
- [j3]Linmin Pei
, Spyridon Bakas
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion. Biomed. Signal Process. Control. 55 (2020) - [c7]Syed M. S. Reza, John A. Butman, Deric M. Park, Dzung L. Pham, Snehashis Roy
AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets. MLMI@MICCAI 2020: 572-582
2010 – 2019
- 2019
- [c6]Syed M. S. Reza, Snehashis Roy
Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095325 - 2017
- [c5]Linmin Pei
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. Computer-Aided Diagnosis 2017: 101342L - 2016
- [c4]Syed M. S. Reza, Khan M. Iftekharuddin:
Glioma grading using cell nuclei morphologic features in digital pathology images. Computer-Aided Diagnosis 2016: 97852U - 2015
- [j2]Bjoern H. Menze
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c3]Linmin Pei
Improved brain tumor growth prediction and segmentation in longitudinal brain MRI. BIBM 2015: 421-424 - [c2]Syed M. S. Reza, Randall Mays, Khan M. Iftekharuddin:
Multi-fractal detrended texture feature for brain tumor classification. Computer-Aided Diagnosis 2015: 941410 - 2014
- [c1]Syed M. S. Reza, Khan M. Iftekharuddin:
Multi-fractal texture features for brain tumor and edema segmentation. Computer-Aided Diagnosis 2014: 903503 - 2013
- [j1]Atiq Islam, Syed M. S. Reza, Khan M. Iftekharuddin:
Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors. IEEE Trans. Biomed. Eng. 60(11): 3204-3215 (2013)
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