Ali Sadeghi-Naini - Search Results

Year	Number of Results
2010	2
2011	4
2012	6
2013	5
2014	7
2015	7
2016	5
2017	6
2018	1
2019	9
2020	16
2021	13
2022	9
2023	7
2024	1

1

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. Dasgupta A, et al. Among authors: sadeghi naini a. Front Oncol. 2024 Apr 19;14:1273437. doi: 10.3389/fonc.2024.1273437. eCollection 2024. Front Oncol. 2024. PMID: 38706611 Free PMC article.

2

Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning.

Shiner A, Kiss A, Saednia K, Jerzak KJ, Gandhi S, Lu FI, Emmenegger U, Fleshner L, Lagree A, Alera MA, Bielecki M, Law E, Law B, Kam D, Klein J, Pinard CJ, Shenfield A, Sadeghi-Naini A, Tran WT. Shiner A, et al. Among authors: sadeghi naini a. Genes (Basel). 2023 Sep 7;14(9):1768. doi: 10.3390/genes14091768. Genes (Basel). 2023. PMID: 37761908 Free PMC article.

3

A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

Saednia K, Tran WT, Sadeghi-Naini A. Saednia K, et al. Among authors: sadeghi naini a. Med Phys. 2023 Dec;50(12):7852-7864. doi: 10.1002/mp.16574. Epub 2023 Jul 5. Med Phys. 2023. PMID: 37403567

4

Enhanced full-inversion-based ultrasound elastography for evaluating tumor response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.

Kheirkhah N, Kornecki A, Czarnota GJ, Samani A, Sadeghi-Naini A. Kheirkhah N, et al. Among authors: sadeghi naini a. Phys Med. 2023 Aug;112:102619. doi: 10.1016/j.ejmp.2023.102619. Epub 2023 Jun 19. Phys Med. 2023. PMID: 37343438 Free article.

5

Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI.

Jalalifar SA, Soliman H, Sahgal A, Sadeghi-Naini A. Jalalifar SA, et al. Among authors: sadeghi naini a. IEEE J Biomed Health Inform. 2023 Jun;27(6):2681-2692. doi: 10.1109/JBHI.2023.3235304. Epub 2023 Jun 5. IEEE J Biomed Health Inform. 2023. PMID: 37018589

6

Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes.

Ferre R, Elst J, Senthilnathan S, Lagree A, Tabbarah S, Lu FI, Sadeghi-Naini A, Tran WT, Curpen B. Ferre R, et al. Among authors: sadeghi naini a. Breast Dis. 2023;42(1):59-66. doi: 10.3233/BD-220018. Breast Dis. 2023. PMID: 36911927

7

A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI.

Jalalifar SA, Soliman H, Sahgal A, Sadeghi-Naini A. Jalalifar SA, et al. Among authors: sadeghi naini a. IEEE J Transl Eng Health Med. 2022 Nov 4;11:13-22. doi: 10.1109/JTEHM.2022.3219625. eCollection 2023. IEEE J Transl Eng Health Med. 2022. PMID: 36478770 Free PMC article.

8

A novel tissue mechanics-based method for improved motion tracking in quasi-static ultrasound elastography.

Kheirkhah N, Dempsey S, Sadeghi-Naini A, Samani A. Kheirkhah N, et al. Among authors: sadeghi naini a. Med Phys. 2023 Apr;50(4):2176-2194. doi: 10.1002/mp.16110. Epub 2022 Dec 8. Med Phys. 2023. PMID: 36398744

9

Impact of Tumour Segmentation Accuracy on Efficacy of Quantitative MRI Biomarkers of Radiotherapy Outcome in Brain Metastasis.

Jalalifar SA, Soliman H, Sahgal A, Sadeghi-Naini A. Jalalifar SA, et al. Among authors: sadeghi naini a. Cancers (Basel). 2022 Oct 20;14(20):5133. doi: 10.3390/cancers14205133. Cancers (Basel). 2022. PMID: 36291917 Free PMC article.

10

A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images.

Saednia K, Tran WT, Sadeghi-Naini A. Saednia K, et al. Among authors: sadeghi naini a. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4764-4767. doi: 10.1109/EMBC48229.2022.9871996. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086360

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