| Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review Q Al-Tashi, MB Saad, A Muneer, R Qureshi, S Mirjalili, A Sheshadri, X Le, ... International journal of molecular sciences 24 (9), 7781, 2023 | 23 | 2023 |
| Deciphering unclassified tumors of non-small-cell lung cancer through radiomics M Saad, TS Choi Computers in biology and medicine 91, 222-230, 2017 | 21 | 2017 |
| Efficacy and clinicogenomic correlates of response to immune checkpoint inhibitors alone or with chemotherapy in non-small cell lung cancer L Hong, M Aminu, S Li, X Lu, M Petranovic, MB Saad, P Chen, K Qin, ... Nature communications 14 (1), 695, 2023 | 20 | 2023 |
| Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study MB Saad, L Hong, M Aminu, NI Vokes, P Chen, M Salehjahromi, K Qin, ... The Lancet Digital Health 5 (7), e404-e420, 2023 | 16 | 2023 |
| Computer-assisted subtyping and prognosis for non-small cell lung cancer patients with unresectable tumor M Saad, TS Choi Computerized Medical Imaging and Graphics 67, 1-8, 2018 | 15 | 2018 |
| Leveraging hybrid biomarkers in clinical endpoint prediction M Saad, IH Lee BMC Medical Informatics and Decision Making 20, 1-12, 2020 | 7 | 2020 |
| Learning-based cancer treatment outcome prognosis using multimodal biomarkers M Saad, S He, W Thorstad, H Gay, D Barnett, Y Zhao, S Ruan, X Wang, ... IEEE transactions on radiation and plasma medical sciences 6 (2), 231-244, 2021 | 5 | 2021 |
| SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers Q Al-Tashi, MB Saad, A Sheshadri, CC Wu, JY Chang, B Al-Lazikani, ... Patterns 4 (8), 2023 | 4 | 2023 |
| Habitat imaging biomarkers for diagnosis and prognosis in cancer patients infected with COVID-19 M Aminu, D Yadav, L Hong, E Young, P Edelkamp Jr, M Saad, ... Cancers 15 (1), 275, 2022 | 4 | 2022 |
| Cellular architecture on whole slide images allows the prediction of survival in lung adenocarcinoma P Chen, MB Saad, FR Rojas, M Salehjahromi, M Aminu, ... International Workshop on Computational Mathematics Modeling in Cancer …, 2022 | 4 | 2022 |
| Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer M Saad, IH Lee, TS Choi Journal of Cancer Research and Clinical Oncology 145, 2937-2950, 2019 | 4 | 2019 |
| Automated delineation of non‐small cell lung cancer: A step toward quantitative reasoning in medical decision science M Saad, IH Lee, TS Choi International Journal of Imaging Systems and Technology 29 (4), 561-576, 2019 | 4 | 2019 |
| Automated integrated system for stained neuron detection: An end-to-end framework with a high negative predictive rate JS Yoon, EY Choi, M Saad, TS Choi Computer Methods and Programs in Biomedicine 180, 105028, 2019 | 4 | 2019 |
| Enhanced Multi-Objective Grey Wolf Optimizer with Lévy Flight and Mutation Operators for Feature Selection Q Al-Tashi, TM Shami, SJ Abdulkadir, EAP Akhir, A Alwadain, ... Comput. Syst. Sci. Eng 47 (2), 1937-1966, 2023 | 2 | 2023 |
| Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis S Diao, P Chen, E Showkatian, R Bandyopadhyay, FR Rojas, B Zhu, ... Cancers 15 (19), 4824, 2023 | 2 | 2023 |
| Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept M Salehjahromi, TV Karpinets, SJ Sujit, M Qayati, P Chen, M Aminu, ... Cell Reports Medicine 5 (3), 2024 | 1 | 2024 |
| OA22. 04 BRIGHTSTAR Local Consolidative Therapy with Brigatinib in Tyrosine Kinase Inhibitor-Naïve ALK-Rearranged Metastatic NSCLC Y Elamin, S Gandhi, M Saad, S Rehmani, MB Antonoff, DL Gibbons, X Le, ... Journal of Thoracic Oncology 18 (11), S96, 2023 | 1 | 2023 |
| Leveraging Incomplete Multimodal Biomarkers for Cancer Treatment Outcome Prediction M Saad, S He, W Thorstad, H Gay, X Wu, Y Zhao, S Ruan, X Wang, H Li MEDICAL PHYSICS 47 (6), E635-E635, 2020 | 1 | 2020 |
| Multimodal Biomarkers for Cancer Treatment Outcome Prediction by Use of Deep Learning and Canonical Correlation Analysis M Saad, S He, W Thorstad, H Gay, X Wu, Y Zhao, S Ruan, X Wang, H Li MEDICAL PHYSICS 47 (6), E356-E356, 2020 | 1 | 2020 |
| Automated delineation of non-small cell lung cancer M Saad bioRxiv, 304949, 2018 | 1 | 2018 |
Tae-Sun ChoiProfessor of Mechatronics, Gwangju Institute of Science and TechnologyVerified email at gist.ac.kr
