Benjamin Veasey

According to our database, Benjamin Veasey authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Parameter-Efficient Fine-Tuning of DINOV2 Vision Transformers for Lung Nodule Classification.

Benjamin Veasey, Amir A. Amini

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

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, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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, 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

IEEE Trans. Medical Imaging, 2021

3D U-net for registration of lung nodules in longitudinal CT scans.

Aryan Ghazipour, Benjamin Veasey, Albert Seow, Amir A. Amini

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Joint Learning for Deformable Registration and Malignancy Classification of Lung Nodules.

Aryan Ghazipour, Benjamin Veasey, Albert Seow, Amir A. Amini

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

AI in Medical Imaging Informatics: Current Challenges and Future Directions.

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

IEEE J. Biomed. Health Informatics, 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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A comparative study of graph search algorithms for segmenting coronary arteries from cine angiography.

Benjamin Veasey, Shahab Ghafghazi, Amir A. Amini

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019