Lakshmanan Sannachi

Sunnybrook Health Science Centre — Canada

Medicine · Health Sciences

22h-index1.4kcitations98works2.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Radiomics and Machine Learning in Medical Imaging(56), AI in cancer detection(34), Ultrasound and Hyperthermia Applications(33), Ultrasound Imaging and Elastography(27), Photoacoustic and Ultrasonic Imaging(26)

Publications98 total

Texture Analysis of Histology Images for Characterizing Ultrasound-Stimulated Microbubble Radiation Enhancement Treatment Response
Cells·2025Open Access
Quantitative ultrasound imaging for predicting response and guiding personalized neoadjuvant chemotherapy in breast cancer: randomized phase 2 clinical trial results
npj Precision Oncology·2025Open Access
Radiomics Analysis of QUS Spectral Parametric Images for Predicting the Risk of Breast Cancer Recurrence
Cancers·2025Open Access
A Priori Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Deep Features from Pre-Treatment MRI and CT
Cancers·2025Open Access
ASMase Activation in Ultrasound-Stimulated Radiation Enhancement Using MRI-Guided Focused Ultrasound
Cells·2025· 1 citedOpen Access
End-to-end CNN-based deep learning enhances breast lesion characterization using quantitative ultrasound (QUS) spectral parametric images
Scientific Reports·2025· 1 citedOpen Access
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection
Medical Physics·2025· 2 citedOpen Access
Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis
Medical Physics·2025· 1 citedOpen Access
Hybrid Feature Selection for Predicting Chemotherapy Response in Locally Advanced Breast Cancer Using Clinical and CT Radiomics Features: Integration of Matrix Rank and Genetic Algorithm
Cancers·2025Open Access
A Priori Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy Using CT Radiomics
Cancers·2025· 1 citedOpen Access
Radiomic feature selection for response prediction of cancer treatment using sparse rank revealing QR factorization and adaptive graph: locally advanced breast cancer and head & neck cancer studies
Biomedical Signal Processing and Control·2025
Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging Study
Cancers·2025· 2 citedOpen Access
Quantitative Ultrasound Texture Analysis of Breast Tumors: A Comparison of a Cart-Based and a Wireless Ultrasound Scanner
Journal of Imaging·2025· 1 citedOpen Access
Pre-Treatment Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy Using Intratumoral and Peritumoral Radiomics from T2-Weighted and Contrast-Enhanced T1-Weighted MRI
Cancers·2025· 4 citedOpen Access
Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer
2025Open Access
Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer
2025· 1 citedOpen Access
Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer
Journal of Imaging·2025Open Access
QUANTITATIVE ULTRASOUND RADIOMICS GUIDED ADAPTIVE NEOADJUVANT CHEMOTHERAPY IN BREAST CANCER: A RANDOMIZED STUDY
Ultrasound in Medicine & Biology·2025
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results
2024Open Access
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results
2024· 1 citedOpen Access
page 1 of 5Next →

Frequent Co-authors

Gregory J. Czarnota(41), Ali Sadeghi‐Naini(28), William T. Tran(27), Sonal Gandhi(22), Maureen Trudeau(20), Frances C. Wright(18), Belinda Curpen(18), Daniel DiCenzo(17), Mehrdad J. Gangeh(16), Hadi Tadayyon(15), Archya Dasgupta(15), Michael C. Kolios(15), Karina Quiaoit(13), Kashuf Fatima(13), Laurentius O. Osapoetra(10), Elzbieta Slodkowska(9), Divya Bhardwaj(8), Andrea Eisen(8), Nicole Look-Hong(8), Murtuza Saifuddin(8)