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)

Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool. - Jeremy Devine; Arjun Sahgal; Irene Karam; Anne L. Martel (Computer-Aided Diagnosis, 2016)

An Automatic Framework for Segmentation of Brain Tumours at Follow-up Scans after Radiation Therapy. - Elham Karami; Ali Jalalifar 001; Mark Ruschin; Hany Soliman; Arjun Sahgal; Greg J. Stanisz; Ali Sadeghi-Naini (EMBC, 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 (EMBC, 2019)

Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline. - Geoff Klein; Anne L. Martel; Arjun Sahgal; Cari M. Whyne; Michael R. Hardisty (CSI@MICCAI, 2019)

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 (EMBC, 2020)

A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine. - Ali Jalalifar 001; Hany Soliman; Mark Ruschin; Arjun Sahgal; Ali Sadeghi-Naini (EMBC, 2020)

A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy*. - Ali Jalalifar 001; Hany Soliman; Arjun Sahgal; Ali Sadeghi-Naini (EMBC, 2020)

Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI. - Seyed Ali Jalalifar 001; Hany Soliman; Arjun Sahgal; Ali Sadeghi-Naini (IEEE J. Biomed. Health Informatics, 2023)