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Dr. Snekha Thakran
Dr. Snekha Thakran
Postdoctoral researcher, University of pennsylvania
Verified email at pennmedicine.upenn.edu
Title
Cited by
Cited by
Year
Automatic outer and inner breast tissue segmentation using multi-parametric MRI images of breast tumor patients
S Thakran, S Chatterjee, M Singhal, RK Gupta, A Singh
PLoS One 13 (1), e0190348, 2018
422018
Characterization of breast lesion using T1-perfusion magnetic resonance imaging: qualitative vs. quantitative analysis
S Thakran, PK Gupta, V Kabra, I Saha, P Jain, RK Gupta, A Singh
Diagnostic and interventional imaging 99 (10), 633-642, 2018
152018
Real Time Object Tracking Using Different Mean Shift Techniques–a Review
Snekha, Chetna Sachdeva, Rajesh Birok
International Journal of Soft Computing and Engineering (IJSCE) ISSN, 2231-2307, 2013
122013
Serendipita indica: a cultivable mycorrhiza-like endosymbiotic fungus
A Varma, A Singh, M Sudha, NS Sahay, J Sharma, A Roy, M Kumari, ...
The Mycota IX. Berlin: Springer-Verlag, 125-150, 2001
10*2001
Association of breast cancer odds with background parenchymal enhancement quantified using a fully automated method at MRI: the IMAGINE Study
GP Watt, S Thakran, JS Sung, MS Jochelson, MBI Lobbes, SP Weinstein, ...
Radiology 308 (3), e230367, 2023
72023
Impact of deformable registration methods for prediction of recurrence free survival response to neoadjuvant chemotherapy in breast cancer: results from the ISPY 1/ACRIN 6657 trial
S Thakran, E Cohen, N Jahani, SP Weinstein, L Pantalone, N Hylton, ...
Translational Oncology 20, 101411, 2022
72022
A hybrid GPFA-EEMD_Fuzzy threshold method for ECG signal de-noising
S Thakran
Journal of Intelligent & Fuzzy Systems 39 (5), 6773-6782, 2020
72020
Characterization of breast tumors using machine learning based upon multiparametric magnetic resonance imaging features
S Thakran, RK Gupta, A Singh
NMR in Biomedicine, e4665, 2021
32021
Feature Extraction and Analysis for Characterization of Breast Lesion Type using Multiparametric MRI
S Thakran, S Chatterjee, RK Gupta, A Singh
Proc. Intl. Soc. Mag. Reson. Med., 3429, 2018
22018
Quantification of tracer kinetic and hemodynamic parameters of human breast tumor and fibro-glandular tissue using DCE-MRI data
S Sehrawat, PK Gupta, M Singhal, RK Gupta, A Singh
Proc. Intl. Soc. Mag. Reson. Med., 1917, 2017
22017
To Evaluate Effect of SENSE and CSENSE on Quantitative T1 and T2 mapping of Human Brain.
Dinil Sasi S , Anup Singh , Rupsa Bhattacharjee , Ayan Debnath , Snekha ...
Proc. Intl. Soc. Mag. Reson. Med., 4414, 2019
1*2019
Influence of Parameter Optimization and Segmentation on the Accuracy of Various Registration Approaches for Multi-parametric 3D Breast MRI Data
S Chatterjee, S Thakran, RK Gupta, A Singh
Proc. Intl. Soc. Mag. Reson. Med., 2681, 2018
12018
Artificial intelligence, its components, and crucial technologies for its implementation
R Bhattacharjee, SD Sasi, S Thakran
Radiomics and Radiogenomics in Neuro-Oncology, 23-36, 2024
2024
Abstract PD16-08: Title: Characterizing Changes in Tumor Heterogeneity via Radiomic Phenotyping for Predicting Response to Neoadjuvant Chemotherapy for Locally Advanced Breast …
EA Cohen, RD Chitalia, S Thakran, WC Mankowski, AAT Nguyen, ...
Cancer Research 83 (5_Supplement), PD16-08-PD16-08, 2023
2023
Conventional and Advanced Magnetic Resonance Imaging Methods
R Bhattacharjee, S Thakran
High-Performance Medical Image Processing, 131-144, 2022
2022
Impact of deformable registration methods for prediction of treatment response to neo-adjuvant chemotherapy in breast cancer
S Thakran, E Cohen, N Jahani, SP Weinstein, L Pantalone, N Hylton, ...
Cancer Research 81 (13_Supplement), 2804-2804, 2021
2021
Computer-aided diagnosis of human breast lesion in T1 perfusion MRI using curvelet based features
S Thakran
Proc. Intl. Soc. Mag. Reson. Med., 2788, 2021
2021
Characterization of Breast Tumor using Machine Learning based upon Multi-parametric MRI Features.
S Thakran, RK Gupta, A Singh
Proc. Intl. Soc. Mag. Reson. Med., 1117, 2021
2021
Quantitative intra-tumoral-susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading
Rupsa Bhattacharjee, Jaladhar Neelavalli, Mamta Gupta, Snekha Thakran, Dinil ...
Proc. Intl. Soc. Mag. Reson. Med., 0399, 2019
2019
­­To evaluate the role of APT-w contrast, optimized for normalization and ROIs selection, in differentiating Infective and Neo-plastic Mass Lesions
Ayan Debnath, Rakesh Kumar Gupta, Dinil Sasi, Snekha Thakran, Anup Singh
Proc. Intl. Soc. Mag. Reson. Med., 4347, 2019
2019
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