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2020 – today
- 2024
[c10]Benjamin Veasey, Amir A. Amini:
Parameter-Efficient Fine-Tuning of DINOV2 Vision Transformers for Lung Nodule Classification. ISBI 2024: 1-5- [c9]Ben P. Veasey, Aryan Ghazipour, Tyler Settle, Emily C. Daugherty, Samuel Keltner, Nitin Kumar, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini:
Harnessing Convolutional Neural Networks for Diagnosing Post-SBRT Radiation-Induced Lung Injury From X-Ray CT. ISBI 2024: 1-5 - 2023
- [c8]Aryan Ghazipour, Tyler Settle, Benjamin Veasey, Emily Daugherty
, Samuel Keltner, Nitin Kumar, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini:
Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning. ISBI 2023: 1-4 - [c7]Tyler Settle, Benjamin Veasey, Albert Seow, Amir A. Amini:
Performance of a bank of 2D efficient-nets for benign/malignant classification of lung nodules in 3D thoracic x-ray CT scans. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - 2021
- [j2]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, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - [c6]Aryan Ghazipour, Benjamin Veasey, Albert Seow, Amir A. Amini:
Joint Learning for Deformable Registration and Malignancy Classification of Lung Nodules. ISBI 2021: 1807-1811 - [c5]Aryan Ghazipour, Benjamin Veasey, Albert Seow, Amir A. Amini:
3D U-net for registration of lung nodules in longitudinal CT scans. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [j1]Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis:
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24(7): 1837-1857 (2020) - [c4]Benjamin Veasey, Mohammad Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini:
Lung Nodule Malignancy Classification Based ON NLSTx Data. ISBI 2020: 1870-1874 - [c3]William Funke, Benjamin Veasey, Jacek M. Zurada, Hichem Frigui, Amir A. Amini:
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c2]Wiem Safta, Mohammad Mehdi Farhangi, Benjamin Veasey, Amir A. Amini, Hichem Frigui:
Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. ISBI 2019: 1220-1224 - [c1]Benjamin Veasey, Shahab Ghafghazi, Amir A. Amini:
A comparative study of graph search algorithms for segmenting coronary arteries from cine angiography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531T
Coauthor Index
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