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Benjamin Veasey
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2020 – today
- 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
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