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Sharmin R. Ara
Sharmin R. Ara
Research and Innovation Centre for Science and Engineering (RISE), BUET
在 rise.buet.ac.bd 的电子邮件经过验证
标题
引用次数
引用次数
年份
Phase-based direct average strain estimation for elastography
SR Ara, F Mohsin, F Alam, SA Rupa, SY Lee, MK Hasan, R Awwal
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 60 …, 2013
242013
EMD-DWT based transform domain feature reduction approach for quantitative multi-class classification of breast lesions
SR Ara, SK Bashar, F Alam, MK Hasan
Ultrasonics 80, 22-33, 2017
232017
Bimodal multiparameter-based approach for benign–malignant classification of breast tumors
SR Ara, F Alam, MH Rahman, S Akhter, R Awwal, MK Hasan
Ultrasound in medicine & biology 41 (7), 2022-2038, 2015
192015
Classification of breast lesions using quantitative ultrasound biomarkers
NI Nizam, SR Ara, MK Hasan
Biomedical Signal Processing and Control 57, 101786, 2020
112020
Using nearest neighbors for accurate estimation of ultrasonic attenuation in the spectral domain
MK Hasan, MA Hussain, SR Ara, SY Lee, SK Alam
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 60 …, 2013
112013
RATE-iPATH: On the design of integrated ultrasonic biomarkers for breast cancer detection
Z Hossen, MA Abrar, SR Ara, MK Hasan
Biomedical Signal Processing and Control 62, 102053, 2020
32020
Detection and classification of breast lesions using ultrasound-based imaging modalities
MK Hasan, SR Ara
Elsevier, 2019
22019
Ultrasonic estimation of effective scatterer diameter for micro-macro parameter based improved breast lesion classification
NI Nizam, SR Ara, M Hasan
arXiv, 2019
12019
Decision combining in relay networks
SR Ara, R Viswanathan
2008 International Conference on Electrical and Computer Engineering, 221-226, 2008
12008
Breast Lesion Classification from Bi-Modal Ultrasound Images by Deep CNN Using Transfer and Multi-Task Learning
MS Hussain, SR Ara, U Kamal, S Ahmed, MK Hasan
Breast lesion classification from bi-modal ultrasound images by deep cnn …, 0
1
Robust strain estimation and bi-modal ultrasonic feature extraction methods for improved diagnosis of breast tumors
SR Ara
Department of Electrical and Electronic Engineering (EEE), 2016
2016
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