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Lakshmanan Sannachi

Observed names: L. Sannachi, Laskhmanan Sannachi, Sannachi, Lakshmanan
ORCID: 0000-0002-9775-0224
Observed ORCID: 0000-0002-9775-0224
OpenAlex ID: A5010501409
Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters
2014 · Lakshmanan Sannachi, Hadi Tadayyon, et al. · Medical Image Analysis · 126
Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi‐institutional study
2020 · Daniel DiCenzo, Karina Quiaoit, et al. · Cancer Medicine · 79
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A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound
2017 · Hadi Tadayyon, Lakshmanan Sannachi, et al. · Scientific Reports · 71
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Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture
2014 · Ali Sadeghi-Naini, Lakshmanan Sannachi, et al. · Oncotarget · 70
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Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities
2017 · Ali Sadeghi-Naini, Lakshmanan Sannachi, et al. · Scientific Reports · 64
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Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results
2020 · Karina Quiaoit, Daniel DiCenzo, et al. · PLoS ONE · 61
Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach
2016 · Hadi Tadayyon, Lakshmanan Sannachi, et al. · Oncotarget · 61
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Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain Elastography
2019 · Jason Fernandes, Lakshmanan Sannachi, et al. · Translational Oncology · 51
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Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features
2018 · Lakshmanan Sannachi, Mehrdad Gangeh, et al. · PLoS ONE · 50
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Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis
2017 · William T Tran, Mehrdad J Gangeh, et al. · British Journal of Cancer · 50
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Breast Cancer Treatment Response Monitoring Using Quantitative Ultrasound and Texture Analysis: Comparative Analysis of Analytical Models
2019 · Lakshmanan Sannachi, Mehrdad Gangeh, et al. · Translational Oncology · 48
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Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methods
2020 · Laurentius O. Osapoetra, Lakshmanan Sannachi, et al. · Translational Oncology · 41
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Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer
2020 · Archya Dasgupta, Stephen Brade, et al. · Oncotarget · 39
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Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer
2015 · Mehrdad J. Gangeh, Hadi Tadayyon, et al. · IEEE Transactions on Medical Imaging · 36
Radiation enhancement using focussed ultrasound-stimulated microbubbles for breast cancer: A Phase 1 clinical trial
2024 · Daniel Moore-Palhares, Archya Dasgupta, et al. · PLoS Medicine · 33
A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning
2020 · Hadi Moghadas-Dastjerdi, Hira Rahman Sha-E-Tallat, et al. · Scientific Reports · 32
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Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning
2021 · Hadi Moghadas-Dastjerdi, Shan-E-Tallat Hira Rahman, et al. · Translational Oncology · 30
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Predictive Quantitative Ultrasound Radiomic Markers Associated With Treatment Response in Head and Neck Cancer
2019 · William T Tran, Harini Suraweera, et al. · Future Science OA · 29
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Quantification of Ultrasonic Scattering Properties of In Vivo Tumor Cell Death in Mouse Models of Breast Cancer
2015 · Hadi Tadayyon, Lakshmanan Sannachi, et al. · Translational Oncology · 29
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Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma
2021 · Kashuf Fatima, Archya Dasgupta, et al. · Clinical and Translational Radiation Oncology · 26
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Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer
2022 · Divya Bhardwaj, Archya Dasgupta, et al. · Cancers · 25
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Quantitative Ultrasound Monitoring of Breast Tumour Response to Neoadjuvant Chemotherapy: Comparison of Results Among Clinical Scanners
2020 · Lakshmanan Sannachi, Mehrdad Gangeh, et al. · Ultrasound in Medicine & Biology · 25
Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features
2023 · Aryan Safakish, Lakshmanan Sannachi, et al. · Frontiers in Oncology · 22
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Radiomics in predicting recurrence for patients with locally advanced breast cancer using quantitative ultrasound
2021 · Archya Dasgupta, Divya Bhardwaj, et al. · Oncotarget · 22
Quantitative Ultrasound Delta-Radiomics During Radiotherapy for Monitoring Treatment Responses in Head and Neck Malignancies
2020 · William T Tran, Harini Suraweera, et al. · Future Science OA · 22
Works count: 92
Citation count: 1,439
H-index: 22
I10-index: 36
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