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Nicole Look Hong

Showing results (21-30 of 39) with videos related to

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Frontiers in Oncology|May 17, 2024
Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learningAmir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, et al.
Annals of Surgical Oncology|June 15, 2013
Noncurative gastrectomy for gastric adenocarcinoma should only be performed in highly selected patientsBenjamin Schmidt, Nicole Look-Hong, Ugwuji N Maduekwe, et al.
Tomography (Ann Arbor, Mich.)|March 26, 2025
Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection MethodsAmir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, et al.
Journal of Breast Imaging|May 16, 2024
3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast CancerMark Barszczyk, Navneet Singh, Afsaneh Alikhassi, et al.
Cancers|March 10, 2022
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast CancerDivya Bhardwaj, Archya Dasgupta, Daniel DiCenzo, et al.
Oncotarget|June 25, 2019
<i>A priori</i> prediction of breast tumour response to chemotherapy using quantitative ultrasound imaging and artificial neural networksHadi Tadayyon, Mehrdad Gangeh, Lakshmanan Sannachi, et al.
Frontiers in Oncology|May 6, 2024
Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility studyArchya Dasgupta, Daniel DiCenzo, Lakshmanan Sannachi, et al.
Current Oncology (Toronto, Ont.)|February 26, 2026
High-Risk Benign Breast Lesions: An Ontario Health (Cancer Care Ontario) Recommendations ReportAndrea Eisen, Anita Bane, Petrina Causer, et al.
Oncotarget|July 15, 2021
MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancerChristopher Kolios, Lakshmanan Sannachi, Archya Dasgupta, et al.
Oncotarget|November 4, 2020
Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancerArchya Dasgupta, Stephen Brade, Lakshmanan Sannachi, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
Frontiers in Oncology|May 17, 2024
Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learningAmir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, et al.
Annals of Surgical Oncology|June 15, 2013
Noncurative gastrectomy for gastric adenocarcinoma should only be performed in highly selected patientsBenjamin Schmidt, Nicole Look-Hong, Ugwuji N Maduekwe, et al.
Tomography (Ann Arbor, Mich.)|March 26, 2025
Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection MethodsAmir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, et al.
Journal of Breast Imaging|May 16, 2024
3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast CancerMark Barszczyk, Navneet Singh, Afsaneh Alikhassi, et al.
Cancers|March 10, 2022
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast CancerDivya Bhardwaj, Archya Dasgupta, Daniel DiCenzo, et al.
Oncotarget|June 25, 2019
<i>A priori</i> prediction of breast tumour response to chemotherapy using quantitative ultrasound imaging and artificial neural networksHadi Tadayyon, Mehrdad Gangeh, Lakshmanan Sannachi, et al.
Frontiers in Oncology|May 6, 2024
Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility studyArchya Dasgupta, Daniel DiCenzo, Lakshmanan Sannachi, et al.
Current Oncology (Toronto, Ont.)|February 26, 2026
High-Risk Benign Breast Lesions: An Ontario Health (Cancer Care Ontario) Recommendations ReportAndrea Eisen, Anita Bane, Petrina Causer, et al.
Oncotarget|July 15, 2021
MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancerChristopher Kolios, Lakshmanan Sannachi, Archya Dasgupta, et al.
Oncotarget|November 4, 2020
Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancerArchya Dasgupta, Stephen Brade, Lakshmanan Sannachi, et al.
Pageof 4