Arjun Sahgal

According to our database, Arjun Sahgal authored at least 9 papers between 2014 and 2023.

Collaborative distances:

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

2023

Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI.

Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini

IEEE J. Biomed. Health Informatics, June, 2023

2020

A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy^*.

Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine.

Ali Jalalifar, Hany Soliman, Mark Ruschin, Arjun Sahgal, Ali Sadeghi-Naini

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Predicting Local Failure after Stereotactic Radiation Therapy in Brain Metastasis using Quantitative CT and Machine Learning^*.

Majid Jaberipour, Arjun Sahgal, Hany Soliman, Ali Sadeghi-Naini

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline.

Geoff Klein, Anne L. Martel, Arjun Sahgal, Cari M. Whyne, Michael R. Hardisty

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

An MR Radiomics Framework for Predicting the Outcome of Stereotactic Radiation Therapy in Brain Metastasis.

Elham Karami, Mark Ruschin, Hany Soliman, Arjun Sahgal, Greg J. Stanisz, Ali Sadeghi-Naini

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An Automatic Framework for Segmentation of Brain Tumours at Follow-up Scans after Radiation Therapy.

Elham Karami, Ali Jalalifar, Mark Ruschin, Hany Soliman, Arjun Sahgal, Greg J. Stanisz, Ali Sadeghi-Naini

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016

Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool.

Jeremy Devine, Arjun Sahgal, Irene Karam, Anne L. Martel

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2014

Variable dose interplay effects across radiosurgical apparatus in treating multiple brain metastases.

Lijun Ma, Alan Nichol, Sabbir Hossain, Brian Wang, Paula Petti, Rosemin Vellani, Chris Higby, Salahuddin Ahmad, Igor Barani, Dennis C. Shrieve, David A. Larson, Arjun Sahgal

Int. J. Comput. Assist. Radiol. Surg., 2014