168 related articles for article (PubMed ID: 33235811)
1. Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.
Tran WT; Suraweera H; Quiaoit K; DiCenzo D; Fatima K; Jang D; Bhardwaj D; Kolios C; Karam I; Poon I; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Czarnota GJ
Future Sci OA; 2020 Sep; 6(9):FSO624. PubMed ID: 33235811
[TBL] [Abstract][Full Text] [Related]
2. Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma.
Fatima K; Dasgupta A; DiCenzo D; Kolios C; Quiaoit K; Saifuddin M; Sandhu M; Bhardwaj D; Karam I; Poon I; Husain Z; Sannachi L; Czarnota GJ
Clin Transl Radiat Oncol; 2021 May; 28():62-70. PubMed ID: 33778174
[TBL] [Abstract][Full Text] [Related]
3. Quantitative US Delta Radiomics to Predict Radiation Response in Individuals with Head and Neck Squamous Cell Carcinoma.
Osapoetra LO; Dasgupta A; DiCenzo D; Fatima K; Quiaoit K; Saifuddin M; Karam I; Poon I; Husain Z; Tran WT; Sannachi L; Czarnota GJ
Radiol Imaging Cancer; 2024 Mar; 6(2):e230029. PubMed ID: 38391311
[TBL] [Abstract][Full Text] [Related]
4. Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer.
Tran WT; Suraweera H; Quaioit K; Cardenas D; Leong KX; Karam I; Poon I; Jang D; Sannachi L; Gangeh M; Tabbarah S; Lagree A; Sadeghi-Naini A; Czarnota GJ
Future Sci OA; 2019 Nov; 6(1):FSO433. PubMed ID: 31915534
[TBL] [Abstract][Full Text] [Related]
5. Quantitative ultrasound radiomics in predicting recurrence for patients with node-positive head-neck squamous cell carcinoma treated with radical radiotherapy.
Dasgupta A; Fatima K; DiCenzo D; Bhardwaj D; Quiaoit K; Saifuddin M; Karam I; Poon I; Husain Z; Tran WT; Sannachi L; Czarnota GJ
Cancer Med; 2021 Apr; 10(8):2579-2589. PubMed ID: 33314716
[TBL] [Abstract][Full Text] [Related]
6. Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features.
Safakish A; Sannachi L; DiCenzo D; Kolios C; Pejović-Milić A; Czarnota GJ
Front Oncol; 2023; 13():1258970. PubMed ID: 37849805
[TBL] [Abstract][Full Text] [Related]
7. Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer.
Bhardwaj D; Dasgupta A; DiCenzo D; Brade S; Fatima K; Quiaoit K; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Curpen B; Sannachi L; Czarnota GJ
Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267555
[TBL] [Abstract][Full Text] [Related]
8. Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics.
Osapoetra LO; Dasgupta A; DiCenzo D; Fatima K; Quiaoit K; Saifuddin M; Karam I; Poon I; Husain Z; Tran WT; Sannachi L; Czarnota GJ
Sci Rep; 2021 Mar; 11(1):6117. PubMed ID: 33731738
[TBL] [Abstract][Full Text] [Related]
9. Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer.
Dasgupta A; Brade S; Sannachi L; Quiaoit K; Fatima K; DiCenzo D; Osapoetra LO; Saifuddin M; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Sadeghi-Naini A; Tran WT; Curpen B; Czarnota GJ
Oncotarget; 2020 Oct; 11(42):3782-3792. PubMed ID: 33144919
[TBL] [Abstract][Full Text] [Related]
10. Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional study.
DiCenzo D; Quiaoit K; Fatima K; Bhardwaj D; Sannachi L; Gangeh M; Sadeghi-Naini A; Dasgupta A; Kolios MC; Trudeau M; Gandhi S; Eisen A; Wright F; Look Hong N; Sahgal A; Stanisz G; Brezden C; Dinniwell R; Tran WT; Yang W; Curpen B; Czarnota GJ
Cancer Med; 2020 Aug; 9(16):5798-5806. PubMed ID: 32602222
[TBL] [Abstract][Full Text] [Related]
11. Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.
Pota M; Scalco E; Sanguineti G; Farneti A; Cattaneo GM; Rizzo G; Esposito M
Artif Intell Med; 2017 Sep; 81():41-53. PubMed ID: 28325604
[TBL] [Abstract][Full Text] [Related]
12. An investigation of machine learning methods in delta-radiomics feature analysis.
Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
[TBL] [Abstract][Full Text] [Related]
13. Radiomics in predicting recurrence for patients with locally advanced breast cancer using quantitative ultrasound.
Dasgupta A; Bhardwaj D; DiCenzo D; Fatima K; Osapoetra LO; Quiaoit K; Saifuddin M; Brade S; Trudeau M; Gandhi S; Eisen A; Wright F; Look-Hong N; Sadeghi-Naini A; Curpen B; Kolios MC; Sannachi L; Czarnota GJ
Oncotarget; 2021 Dec; 12(25):2437-2448. PubMed ID: 34917262
[TBL] [Abstract][Full Text] [Related]
14. Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility study.
Dasgupta A; DiCenzo D; Sannachi L; Gandhi S; Pezo RC; Eisen A; Warner E; Wright FC; Look-Hong N; Sadeghi-Naini A; Curpen B; Kolios MC; Trudeau M; Czarnota GJ
Front Oncol; 2024; 14():1273437. PubMed ID: 38706611
[TBL] [Abstract][Full Text] [Related]
15. Breast Cancer Treatment Response Monitoring Using Quantitative Ultrasound and Texture Analysis: Comparative Analysis of Analytical Models.
Sannachi L; Gangeh M; Tadayyon H; Gandhi S; Wright FC; Slodkowska E; Curpen B; Sadeghi-Naini A; Tran W; Czarnota GJ
Transl Oncol; 2019 Oct; 12(10):1271-1281. PubMed ID: 31325763
[TBL] [Abstract][Full Text] [Related]
16.
Osapoetra LO; Sannachi L; Quiaoit K; Dasgupta A; DiCenzo D; Fatima K; Wright F; Dinniwell R; Trudeau M; Gandhi S; Tran W; Kolios MC; Yang W; Czarnota GJ
Oncotarget; 2021 Jan; 12(2):81-94. PubMed ID: 33520113
[TBL] [Abstract][Full Text] [Related]
17. Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma.
Yuan Y; Ren J; Tao X
Eur Radiol; 2021 Sep; 31(9):6429-6437. PubMed ID: 33569617
[TBL] [Abstract][Full Text] [Related]
18. Image Guided Radiotherapy (IGRT) and Delta (Δ) Radiomics-An Urgent Alliance for the Front Line of the War against Head and Neck Cancers.
Mireștean CC; Iancu RI; Iancu DPT
Diagnostics (Basel); 2023 Jun; 13(12):. PubMed ID: 37370940
[TBL] [Abstract][Full Text] [Related]
19. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
[TBL] [Abstract][Full Text] [Related]
20. Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features.
Sannachi L; Gangeh M; Tadayyon H; Sadeghi-Naini A; Gandhi S; Wright FC; Slodkowska E; Curpen B; Tran W; Czarnota GJ
PLoS One; 2018; 13(1):e0189634. PubMed ID: 29298305
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
