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Lakshmanan Sannachi

Showing results (1-10 of 59) with videos related to

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Scientific Reports|May 5, 2026
Machine learning for the prediction of three-year survival in locally advanced breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound imagingOmar Falou, Lakshmanan Sannachi, Gregory J Czarnota, et al.
Medical Physics|September 4, 2025
Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysisAmir Moslemi, Aryan Safakish, Lakshmanan Sannachi, et al.
Scientific Reports|January 28, 2024
Transfer learning of pre-treatment quantitative ultrasound multi-parametric images for the prediction of breast cancer response to neoadjuvant chemotherapyOmar Falou, Lakshmanan Sannachi, Maeashah Haque, et al.
Cancers|September 13, 2025
Hybrid Feature Selection for Predicting Chemotherapy Response in Locally Advanced Breast Cancer Using Clinical and CT Radiomics Features: Integration of Matrix Rank and Genetic AlgorithmAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Medical Physics|September 22, 2025
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selectionAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Scientific Reports|March 19, 2023
MR-guided ultrasound-stimulated microbubble therapy enhances radiation-induced tumor responseEvan McNabb, Deepa Sharma, Lakshmanan Sannachi, et al.
Frontiers in Oncology|October 18, 2023
Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture featuresAryan Safakish, Lakshmanan Sannachi, Daniel DiCenzo, et al.
Translational Oncology|July 15, 2020
Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methodsLaurentius O Osapoetra, Lakshmanan Sannachi, Daniel DiCenzo, et al.
Cancers|August 28, 2025
A Priori Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy Using CT RadiomicsDeok Hyun Jang, Laurentius O Osapoetra, Lakshmanan Sannachi, et al.
Technology in Cancer Research & Treatment|September 26, 2023
Quantitative Ultrasound for Evaluation of Tumour Response to Ultrasound-Microbubbles and HyperthermiaDeepa Sharma, Holliday Carter, Lakshmanan Sannachi, et al.
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Scientific Reports|May 5, 2026
Machine learning for the prediction of three-year survival in locally advanced breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound imagingOmar Falou, Lakshmanan Sannachi, Gregory J Czarnota, et al.
Medical Physics|September 4, 2025
Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysisAmir Moslemi, Aryan Safakish, Lakshmanan Sannachi, et al.
Scientific Reports|January 28, 2024
Transfer learning of pre-treatment quantitative ultrasound multi-parametric images for the prediction of breast cancer response to neoadjuvant chemotherapyOmar Falou, Lakshmanan Sannachi, Maeashah Haque, et al.
Cancers|September 13, 2025
Hybrid Feature Selection for Predicting Chemotherapy Response in Locally Advanced Breast Cancer Using Clinical and CT Radiomics Features: Integration of Matrix Rank and Genetic AlgorithmAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Medical Physics|September 22, 2025
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selectionAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Scientific Reports|March 19, 2023
MR-guided ultrasound-stimulated microbubble therapy enhances radiation-induced tumor responseEvan McNabb, Deepa Sharma, Lakshmanan Sannachi, et al.
Frontiers in Oncology|October 18, 2023
Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture featuresAryan Safakish, Lakshmanan Sannachi, Daniel DiCenzo, et al.
Translational Oncology|July 15, 2020
Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methodsLaurentius O Osapoetra, Lakshmanan Sannachi, Daniel DiCenzo, et al.
Cancers|August 28, 2025
A Priori Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy Using CT RadiomicsDeok Hyun Jang, Laurentius O Osapoetra, Lakshmanan Sannachi, et al.
Technology in Cancer Research & Treatment|September 26, 2023
Quantitative Ultrasound for Evaluation of Tumour Response to Ultrasound-Microbubbles and HyperthermiaDeepa Sharma, Holliday Carter, Lakshmanan Sannachi, et al.
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