Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer A Dasgupta, S Brade, L Sannachi, K Quiaoit, K Fatima, D DiCenzo, ... Oncotarget 11 (42), 3782, 2020 | 27 | 2020 |
Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma K Fatima, A Dasgupta, D DiCenzo, C Kolios, K Quiaoit, M Saifuddin, ... Clinical and Translational Radiation Oncology 28, 62-70, 2021 | 20 | 2021 |
Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics LO Osapoetra, A Dasgupta, D DiCenzo, K Fatima, K Quiaoit, M Saifuddin, ... Scientific Reports 11 (1), 6117, 2021 | 15 | 2021 |
Quantitative ultrasound radiomics in predicting recurrence for patients with node‐positive head‐neck squamous cell carcinoma treated with radical radiotherapy A Dasgupta, K Fatima, D DiCenzo, D Bhardwaj, K Quiaoit, M Saifuddin, ... Cancer Medicine 10 (8), 2579-2589, 2021 | 13 | 2021 |
Radiomics in predicting recurrence for patients with locally advanced breast cancer using quantitative ultrasound A Dasgupta, D Bhardwaj, D DiCenzo, K Fatima, LO Osapoetra, K Quiaoit, ... Oncotarget 12 (25), 2437, 2021 | 11 | 2021 |
Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neoadjuvant chemotherapy for locally advanced breast cancer. Oncotarget. 2020 … A Dasgupta, S Brade, L Sannachi, K Quiaoit, K Fatima, D DiCenzo, ... | 5 | |
Novel MRI-guided focussed ultrasound stimulated microbubble radiation enhancement treatment for breast cancer A Dasgupta, M Saifuddin, E McNabb, L Ho, L Lu, D Vesprini, I Karam, ... Scientific Reports 13 (1), 13566, 2023 | 3 | 2023 |
Quantitative ultrasound for evaluation of tumour response to ultrasound-microbubbles and hyperthermia D Sharma, H Carter, L Sannachi, W Cui, A Giles, M Saifuddin, ... Technology in Cancer Research & Treatment 22, 15330338231200993, 2023 | 1 | 2023 |
A Novel Strategy to Improve Radiotherapy Effectiveness: First-in-Human MR-guided Focused Ultrasound-Stimulated Microbubbles (MRgFUS+ MB) Radiation Enhancement Treatment D Moore-Palhares, M Saifuddin, L Ho, L Lu, A Dasgupta, M Smoragiewicz, ... Journal of Radiology and Oncology 7 (2), 047-051, 2023 | 1 | 2023 |
Radiation enhancement using focussed ultrasound-stimulated microbubbles for breast cancer: A Phase 1 clinical trial D Moore-Palhares, A Dasgupta, M Saifuddin, ML Anzola Pena, S Prasla, ... PLoS medicine 21 (5), e1004408, 2024 | | 2024 |
Management and outcomes of patients with recurrence of cutaneous melanoma during or after completion of adjuvant immunotherapy: a multicenter study S McKinley, HL Kalvin, M Shindorf, KE Rhodin, M Saifuddin, C Tran, ... ANNALS OF SURGICAL ONCOLOGY 31 (1), S31-S31, 2024 | | 2024 |
Quantitative US Delta Radiomics to Predict Radiation Response in Individuals with Head and Neck Squamous Cell Carcinoma LO Osapoetra, A Dasgupta, D DiCenzo, K Fatima, K Quiaoit, M Saifuddin, ... Radiology: Imaging Cancer 6 (2), e230029, 2024 | | 2024 |
A Novel Strategy to Enhance Radiotherapy Efficacy: Results from the Prospective Phase I Clinical Trial of MR-Guided Focused Ultrasound-Stimulated Microbubbles (MRgFUS+ MB … DM Palhares, A Dasgupta, M Saifuddin, L Ho, L Lu, S Prasla, MLA Pena, ... International Journal of Radiation Oncology, Biology, Physics 117 (2), e197, 2023 | | 2023 |
Daniel Moore-Palhares1-3, Murtuza Saifuddin3, Ling Ho1, Lin Lu1, Archya Dasgupta1-3, Martin Smoragiewicz4, Irene Karam1, 2, Andrew Bayley1, 2, Arjun Sahgal1, 2, Ian Poon1, 2 … GJ Czarnota, M Saifuddin, L Ho, L Lu, A Dasgupta | | 2023 |
Assessment of Clinical Radiosensitivity in Patients with Head-Neck Squamous Cell Carcinoma using Pre-treatment Quantitative Ultrasound Texture-Derivatives and Machine Learning … A Dasgupta, L Osapoetra, D DiCenzo, L Sannachi, M Saifuddin, K Fatima, ... International Journal of Radiation Oncology, Biology, Physics 108 (3), S180, 2020 | | 2020 |
Radiomic Signature Using Quantitative Ultrasound Integrated with Machine Learning for Predicting Clinical Radiosensitivity in Patients with Head-Neck Squamous Cell Carcinoma … M Saifuddin, A Dasgupta, K Fatima, L Sannachi, H Suraweera, K Quiaiot, ... International Journal of Radiation Oncology, Biology, Physics 105 (1), E372, 2019 | | 2019 |
Predicting Recurrence for Patients with Head-Neck Squamous Cell Carcinoma Using Quantitative Ultrasound Based Radiomic Signatures Integrated with Machine Learning K Fatima, L Sannachi, K Quiaiot, H Suraweera, M Saifuddin, A Dasgupta, ... International Journal of Radiation Oncology, Biology, Physics 105 (1), E436-E437, 2019 | | 2019 |