| Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading AS Dinil Sasi S, Ramaniharan Anandh K., Rupsa Bhattacharjee, Rakesh K. Gupta ... European Journal of Radiology 129 (109049), 2020 | 18 | 2020 |
| A comprehensive evaluation and impact of normalization of generalized tracer kinetic model parameters to characterize blood-brain-barrier permeability in normal-appearing and … RK Gupta, R Patir, S Ahlawat, S Vaishya, A Singh Magnetic Resonance Imaging 83, 77-88, 2021 | 6 | 2021 |
| PEM fuel cells as a power source for wireless sensor networks V Devaraj, S Dinil, MS Diju, S Vineeth, A Jose, MJ Jyothy, MJ Neethu 2012 1st International Symposium on Physics and Technology of Sensors (ISPTS …, 2012 | 2 | 2012 |
| Differentiation of Non-enhancing tumor region from Vasogenic edema in high-grade glioma using a machine learning framework based upon conventional MRI feature A Sengupta, N Vats, S Agarwal, RK Gupta, D Sasi, A Debnath, A Singh | 1 | 2019 |
| To evaluate effect of SENSE and CSENSE on quantitative T1 and T2 mapping of human brain MVC Dinil Sasi S , Anup Singh , Rupsa Bhattacharjee , Ayan Debnath , Snekha ... ISMRM Annual Meeting and Exhibition 2019, 2019 | 1* | 2019 |
| Evaluating the Role of Leakage Correction of Hemodynamic Parameters derived from Dynamic Contrast Enhanced MRI for Glioma Grading. DS Sankaralayam, AK Ramaniharan, RK Gupta, R Patir, S Ahlawat, ... Journal of Magnetic Resonance Imaging: JMRI, 2024 | | 2024 |
| 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 |
| To Evaluate Potential of Normalized Tracer Kinetic Parameters Derived from T1-Perfusion MRI in Glioma Grading SA Sasi S D, Gupta RK, Patir R, Ahlawat S, Vaishya S ISMRM 2021, p-1096, 2021 | | 2021 |
| To evaluate the effect of different initial guess selection approaches on quantitative analysis of DCE-MRI data of brain tumor patients SA Sasi S D, Manickam S , Dadarwal R , Debnath A , Thakran S, Gupta RK | | 2020 |
| To Evaluate the Effect of Compressed-SENSE on Accuracy of High-Resolution Quantitative T1-Perfusion MRI Parameters and on glioma grading at 3T SA Sasi S D, Gupta RK, Indrajit Saha, Ramaniharan AK ISMRM 2020, 2020 | | 2020 |
| A Method to Improve Automated Subject specific Arterial Input Function and to evaluate its Effect on Glioma Grading using DCE-MRI at 3T SA Sasi S D, Manickam S , Dadarwal R, Gupta RK ISMRM 2020, 2020 | | 2020 |
| Optimization of saturation frequency offset step size for CEST asymmetry contrast of human brain at 7T MRI A Debnath, H Hariharan, RPR Nanga, P Bagga, D Sasi, R Reddy, ... Proc. Intl. Soc. Mag. Reson. Med 27, 4361, 2019 | | 2019 |
| Quantitative intra-tumoral-susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading R Bhattacharjee, J Neelavalli, M Gupta, S Thakran, D Sasi, RK Gupta, ... Proc. Intl. Soc. Mag. Reson. Med 27, 0399, 2019 | | 2019 |
| Comparing supervised and unsupervised machine learning frameworks based upon quantitative-MRI features in differentiation between non-enhancing tumor and vasogenic edema of … N Vats, A Sengupta, D Sasi, RK Gupta, RP Chauhan, VK Yadav, ... Proc. Intl. Soc. Mag. Reson. Med 27, 3072, 2019 | | 2019 |
| A Software tool for quantitative analysis of DCE-MRI data. SA Sasi S D, Sengupta A, Dadarwal R, Manickam S, Snekha, Virendra Yadav ... ISMRM workshop on Accessible MRI for the world 2019, New Delhi, India, 2019 | | 2019 |
| Detection of Hypertensive Retinopathy from Retinal Images SS Dinil | | 2016 |
| Grading of glioma using a machine learning framework based on optimized features obtained from quantitative DCE-MRI and SWI B Kar, A Sengupta, R Bhattacharjee, N Vats, V Yadav, D Sasi, RK Gupta, ... | | |
| Segmentation of Contrast Enhancing Brain Tumor Region using a Machine Learning Framework based upon Pre and Post contrast MR Images N Vats, VK Yadav, M Awasthi, D Sasi, M Gupta, RK Gupta, A Singh | | |
| Impact of registration on multi-parametric breast MRI data and parameters: Qualitative and Quantitative Assessment S Thakran, S Chatterjee, D Sasi, A Debnath, R Bhattacharjee, RK Gupta, ... | | |
| To evaluate the effect of different initial guess selection approaches on quantitative analysis of DCE-MRI data of brain tumor patients D Sasi, S Manickam, R Dadarwal, A Debnath, S Thakran, RK Gupta, ... | | |
Rupsa Bhattacharjee, PhDAssociate Specialist (Post Doc) in MQIR Group, Department of Radiology & Biomedical EngineeringBestätigte E-Mail-Adresse bei ucsf.edu
