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)

A comparative study of graph search algorithms for segmenting coronary arteries from cine angiography. - Benjamin Veasey; Shahab Ghafghazi; Amir A. Amini (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Lung Nodule Malignancy Classification Based ON NLSTx Data. - Benjamin Veasey; Mohammad Mehdi Farhangi; Hichem Frigui; Justin Broadhead; Michael Dahle; Aria Pezeshk; Albert Seow; Amir A. Amini (ISBI, 2020)

3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation. - William Funke; Benjamin Veasey; Jacek M. Zurada; Hichem Frigui; Amir A. Amini (Computer-Aided Diagnosis, 2020)

AI in Medical Imaging Informatics: Current Challenges and Future Directions. - Andreas S. Panayides; Amir A. Amini; Nenad D. Filipovic; Ashish Sharma 001; Sotirios A. Tsaftaris; Alistair A. Young; David J. Foran; Nhan Do; Spyretta Golemati; Tahsin M. Kurç; Kun Huang 001; Konstantina S. Nikita; et al. (IEEE J. Biomed. Health Informatics, 2020)

Joint Learning for Deformable Registration and Malignancy Classification of Lung Nodules. - Aryan Ghazipour; Benjamin Veasey; Albert Seow; Amir A. Amini (ISBI, 2021)

3D U-net for registration of lung nodules in longitudinal CT scans. - Aryan Ghazipour; Benjamin Veasey; Albert Seow; Amir A. Amini (Computer-Aided Diagnosis, 2021)

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)

Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning. - Aryan Ghazipour; Tyler Settle; Benjamin Veasey; Emily Daugherty; Samuel Keltner; Nitin Kumar 020; James Ververs; Michael Farris; Neal Dunlap; Amir A. Amini (ISBI, 2023)

Performance of a bank of 2D efficient-nets for benign/malignant classification of lung nodules in 3D thoracic x-ray CT scans. - Tyler Settle; Benjamin Veasey; Albert Seow; Amir A. Amini (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Parameter-Efficient Fine-Tuning of DINOV2 Vision Transformers for Lung Nodule Classification. - Benjamin Veasey; Amir A. Amini (ISBI, 2024)

Harnessing Convolutional Neural Networks for Diagnosing Post-SBRT Radiation-Induced Lung Injury From X-Ray CT. - Ben P. Veasey; Aryan Ghazipour; Tyler Settle; Emily C. Daugherty; Samuel Keltner; Nitin Kumar 020; James Ververs; Michael Farris; Neal Dunlap; Amir A. Amini (ISBI, 2024)