Multiple Instance Learning for Benign vs. Malignant Classification of Lung Nodules in CT Scans. - Wiem Safta; Hichem Frigui (ISSPIT, 2018)

Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. - Wiem Safta; Mohammad Mehdi Farhangi; Benjamin Veasey; Amir A. Amini; Hichem Frigui (ISBI, 2019)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Lung Nodules Identification in CT Scans Using Multiple Instance Learning. - Wiem Safta; Hichem Frigui (ICMLA, 2022)

Masked Image Modeling Advances 3D Medical Image Analysis. - Zekai Chen; Devansh Agarwal; Kshitij Aggarwal; Wiem Safta; Mariann Micsinai Balan; Venkat Sethuraman; Kevin Brown (CoRR, 2022)

Masked Image Modeling Advances 3D Medical Image Analysis. - Zekai Chen; Devansh Agarwal; Kshitij Aggarwal; Wiem Safta; Mariann Micsinai Balan; Kevin Brown (WACV, 2023)

Advancing Pulmonary Nodule Diagnosis by Integrating Engineered and Deep Features Extracted from CT Scans. - Wiem Safta; Ahmed Shaffie (Algorithms, 2024)