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Sina Salsabili
Sina Salsabili
Staff CV/NLP Data Scientist
Verified email at walmart.com
Title
Cited by
Cited by
Year
Automated segmentation of villi in histopathology images of placenta
S Salsabili, A Mukherjee, E Ukwatta, ADC Chan, S Bainbridge, ...
Computers in biology and medicine 113, 103420, 2019
202019
Compressed sensing based speech enhancement
FF Firouzeh, S Ghorshi, S Salsabili
2014 8th International Conference on Signal Processing and Communication …, 2014
122014
Fully automated estimation of the mean linear intercept in histopathology images of mouse lung tissue
S Salsabili, M Lithopoulos, S Sreeraman, A Vadivel, B Thébaud, ...
Journal of Medical Imaging 8 (2), 027501-027501, 2021
82021
Interictal EEG denoising using independent component analysis and empirical mode decomposition
S Salsabili, SH Sardoui, MB Shamsollahi
2015 38th International Conference on Telecommunications and Signal …, 2015
52015
Improved recovery of compressive sensed speech
FF Firouzeh, M Abdelazez, S Salsabili, S Rajan
2020 IEEE International Instrumentation and Measurement Technology …, 2020
32020
Automated Segmentation of Complex Biological Structures in Histopathology Images
S Salsabili
Carleton University, 2022
22022
Automated Detection of Maternal Vascular Malperfusion Lesions of the Placenta using Machine Learning
P Patnaik, A Khodee, G Vasam, A Mukherjee, S Salsabili, E Ukwatta, ...
medRxiv, 2023.06. 26.23291920, 2023
12023
An Automated Tool to Assess Air Space Size in Histopathology Images of Lung Tissue
D Politis, S Salsabili, ADC Chan
2022 IEEE International Instrumentation and Measurement Technology …, 2022
12022
Multiresolution semantic segmentation of biological structures in digital histopathology
S Salsabili, ADC Chan, E Ukwatta
Journal of Medical Imaging 11 (3), 037501-037501, 2024
2024
Automated detection of microscopic placental features indicative of maternal vascular malperfusion using machine learning
P Patnaik, A Khodaee, G Vasam, A Mukherjee, S Salsabili, E Ukwatta, ...
Placenta 145, 19-26, 2024
2024
Application of Machine Learning to Identify Placental Lesions of Maternal Vascular Malperfusion in Cases of Preeclampsia and Fetal Growth Restriction
P Patnaik, A Mukherjee, G Vasam, D Grynspan, A Chan, S Salsabili, ...
Placenta 112, e55, 2021
2021
Modelling Placenta Mediated Diseases with Supervised Machine Learning.
A Mukherjee, S Salsabili, ADC Chan, M Leckie, D Grynspan, ...
REPRODUCTIVE SCIENCES 27 (SUPPL 1), 171A-171A, 2020
2020
Automating Segmentation of Placenta Tissue Images for Computer Aided Diagnosis and Creating Objective Measures for Microscopic Components
A Mukherjee, S Salsabili, ADC Chan, E Ukwatta, M Leckie, D Grynspan, ...
REPRODUCTIVE SCIENCES 25, 244A-245A, 2018
2018
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