Adaptive chirplet transform for sensitive and accurate monitoring of pulsed gas metal arc welding process S Chatterjee, R Chatterjee, S Pal, K Pal, SK Pal The International Journal of Advanced Manufacturing Technology, 1-15, 2011 | 13 | 2011 |
Multi-compartment model of brain tissues from T2 relaxometry MRI using gamma distribution S Chatterjee, O Commowick, O Afacan, SK Warfield, C Barillot 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 11 | 2018 |
Method and system for improved classification of constituent materials DD Shanbhag, R Mullick, S Thiruvenkadam, F Wiesinger, S Chatterjee, ... US Patent 10,436,858, 2019 | 10 | 2019 |
Identification of Gadolinium contrast enhanced regions in MS lesions using brain tissue microstructure information obtained from diffusion and T2 relaxometry MRI S Chatterjee, O Commowick, O Afacan, SK Warfield, C Barillot Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 7 | 2018 |
Accurate Detection of Weld Defects Using Chirplet Transform S CHATTERJEE, R CHATTERJEE, K PAL, S PAL, SK PAL International Conference on Computer and Automation Engineering, 2012, 2012 | 3 | 2012 |
Tissue microstructure information from T2 relaxometry and diffusion MRI can identify multiple sclerosis (MS) lesions undergoing blood-brain barrier breakdown (BBB) S Chatterjee, O Commowick, O Afacan, SK Warfield, C Barillot ISMRM 2019-27th Annual Meeting & Exhibition, 1-4, 2019 | 1 | 2019 |
A three year follow-up study of gadolinium enhanced and non-enhanced regions in multiple sclerosis lesions using a multi-compartment T2 relaxometry model S Chatterjee, O Commowick, O Afacan, B Combes, SK Warfield, C Barillot bioRxiv, 365379, 2018 | 1 | 2018 |
Gaining Insights Into Multiple Sclerosis Lesion Characteristics from Brain Tissue Microstructure Information: A Multi-Compartment T2 Relaxometry Approach. S Chatterjee, O Commowick, SK Warfield, C Barillot ISMRM 25TH ANNUAL MEETING & EXHIBITION, 2537, 2017 | 1 | 2017 |
MR-based attenuation correction utilizing multi-echo flyback UTE IDEAL S Chatterjee, KM Johnson, WF Block, AB McMillan Proceedings of the 22nd Annual Meeting of ISMRM, Milan, Italy, 2014 | 1 | 2014 |
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging HK Aggarawl, S Chatterjee, D Shanbhag, U Patil, KVS Hari Medical Imaging with Deep Learning, 2024 | | 2024 |
Deep learning based magnetic resonance imaging (MRI) examination acceleration S Chatterjee, D Shanbhag, S Joel US Patent 11,885,862, 2024 | | 2024 |
Methods and systems for super-resolution with progressive sub-voxel up-sampling RK Patil, S Chatterjee US Patent App. 17/810,271, 2024 | | 2024 |
System and method for deep learning-based generation of true contrast images utilizing synthetic magnetic resonance imaging data S Chatterjee, DD Shanbhag US Patent 11,808,832, 2023 | | 2023 |
Generating high quality training data collections for training artificial intelligence models MM Patil, R Mullick, S Chatterjee, SA Hashmi, DD Shanbhag, D Anand, ... US Patent App. 17/660,717, 2023 | | 2023 |
Deep learning based medical system and method for image acquisition S Chatterjee, DD Shanbhag US Patent 11,763,429, 2023 | | 2023 |
Multi-modal image registration via modality-neutral machine learning transformation S Chatterjee, DD Shanbhag, KS Shriram US Patent App. 17/648,696, 2023 | | 2023 |
OPT: Optimized Projection based k-space Trajectory Design for MR Image Reconstruction S Sharma, S Chatterjee, DD Shanbhag, HK Aggarwal, KVS Hari | | 2022 |
Acceleration by Deep-Learnt Sharing of Superfluous Information in Multi-contrast MRI S Chatterjee, SE Joel, R Venkatesan, DD Shanbhag Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | | 2021 |
Gaining insights into brain tissues using multi-compartment T2 relaxometry models S Chatterjee Rennes 1, 2018 | | 2018 |
A 3-year follow-up study of enhancing and non-enhancing multiple sclerosis (MS) lesions in MS patients demonstrating clinically isolated syndrome (CIS) using a multi … S Chatterjee, O Commowick, O Afacan, B Combès, A Kerbrat, SK Warfield, ... ISMRM Annual Meeting 2018, 1-5, 2018 | | 2018 |