A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks
Lagree, Andrew, Mohebpour, Majidreza, Meti, Nicholas, Saednia, Khadijeh, Lu, Fang-I, Slodkowska, Elzbieta, Gandhi, Sonal, Rakovitch, Eileen, Shenfield, Alex, Sadeghi-Naini, Ali, Tran, William T
Published in Scientific reports (13.04.2021)
Published in Scientific reports (13.04.2021)
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Journal Article
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
Saednia, Khadijeh, Lagree, Andrew, Alera, Marie A, Fleshner, Lauren, Shiner, Audrey, Law, Ethan, Law, Brianna, Dodington, David W, Lu, Fang-I, Tran, William T, Sadeghi-Naini, Ali
Published in Scientific reports (11.06.2022)
Published in Scientific reports (11.06.2022)
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Journal Article
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning
Shiner, Audrey, Kiss, Alex, Saednia, Khadijeh, Jerzak, Katarzyna J, Gandhi, Sonal, Lu, Fang-I, Emmenegger, Urban, Fleshner, Lauren, Lagree, Andrew, Alera, Marie Angeli, Bielecki, Mateusz, Law, Ethan, Law, Brianna, Kam, Dylan, Klein, Jonathan, Pinard, Christopher J, Shenfield, Alex, Sadeghi-Naini, Ali, Tran, William T
Published in Genes (01.09.2023)
Published in Genes (01.09.2023)
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Journal Article
Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity From Breast Radiation Therapy Using Supervised Machine Learning
Saednia, Khadijeh, Tabbarah, Sami, Lagree, Andrew, Wu, Tina, Klein, Jonathan, Garcia, Eduardo, Hall, Michael, Chow, Edward, Rakovitch, Eileen, Childs, Charmaine, Sadeghi-Naini, Ali, Tran, William T.
Published in International journal of radiation oncology, biology, physics (01.04.2020)
Published in International journal of radiation oncology, biology, physics (01.04.2020)
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Journal Article
Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics
Tran, William T, Jerzak, Katarzyna, Lu, Fang-I, Klein, Jonathan, Tabbarah, Sami, Lagree, Andrew, Wu, Tina, Rosado-Mendez, Ivan, Law, Ethan, Saednia, Khadijeh, Sadeghi-Naini, Ali
Published in Journal of medical imaging and radiation sciences (01.12.2019)
Published in Journal of medical imaging and radiation sciences (01.12.2019)
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Journal Article
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features
Meti, Nicholas, Saednia, Khadijeh, Lagree, Andrew, Tabbarah, Sami, Mohebpour, Majid, Kiss, Alex, Lu, Fang-I, Slodkowska, Elzbieta, Gandhi, Sonal, Jerzak, Katarzyna Joanna, Fleshner, Lauren, Law, Ethan, Sadeghi-Naini, Ali, Tran, William T
Published in JCO clinical cancer informatics (2021)
Published in JCO clinical cancer informatics (2021)
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Journal Article
An Attention-Guided Deep Neural Network for Annotating Abnormalities in Chest X-ray Images: Visualization of Network Decision Basis
Saednia, Khadijeh, Jalalifar, Ali, Ebrahimi, Shahin, Sadeghi-Naini, Ali
Published in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (01.07.2020)
Published in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (01.07.2020)
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Conference Proceeding
A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images
Saednia, Khadijeh, Tran, William T., Sadeghi-Naini, Ali
Published in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022)
Published in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022)
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Conference Proceeding