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INFORMATION FOR

Publications from PIII Faculty

Abstracts and Talks

Accepted SIIM abstracts for the 2022 meeting

1) Development of a workflow efficient PACS based automated brain tumor segmentation and radiomic feature extraction for clinical implementation
• Authors: Tej Verma

2) PACS-Integrated Lesion Tracking Tool Enables Efficient Lesion Measurement And Reveals High Proportion Of Metastatic Lesions Showing Mixed Response To Radiosurgery
• Authors: Gabriel Cassinelli, Tej Verma, Khaled Bousabarah, PhD, Leon Jekel, Sara Merkaj, Ryan Bahar, BS, Sandra Abi Fadel, MD, Ichiro Ikuta, MD, MingDe Lin, PhD, Antonio Omuro, MD, Mariam Aboian, MD/PhD

3) Applying a Glioma-Trained Deep Learning Automatic 3D Segmentation Algorithm for Primary CNS Lymphoma Segmentation - Preliminary Results
• Authors: Gabriel Cassinelli, Sara Merkaj, Khaled Bousabarah PhD, Leon Jekel, Sandra Abi Fadel MD, Ichiro Ikuta MD, MingDe Lin PhD, Anita Huttner MD, Antonio Omuro, MD, Mariam Aboian, MD/PhD

4) Are Deep Learning or Conventional Machine Learning Algorithms Best For Differentiating Gliomas from Primary CNS Lymphomas? - A Systematic Review
• Authors: Gabriel Cassinelli Petersen, Julia Shatalov, Tej Verma, Waverly Brim BS, Sara Merkaj, Ryan Bahar BS, Harry Subramanian, MD, Jin Cui PhD, Michele Johnson MD, Ajay Malhotra MD, Antonio Omuro MD, Mariam Aboian MD/PhD

5) A fully PACS integrated machine learning pipeline for automatic glioma segmentation and grade prediction
• Authors:Sara Merkaj, Tal Zeevi, Khaled Bousabarah, Eve Kazarian, MingDe Lin, Andrej Pala, Lawrence Staib, Leon Jekel, Ryan Bahar, Gabriel Cassinelli, Niklas Tillmanns, Jin Cui, Ichiro Ikuta, Sandra Abi Fadel, Jitendra Bhawnani, Irena Tocino, Mariam Aboian

6) Minimal studies needed to train novel PACS-based glioma auto-segmentation tool to translate to clinical practice
• Authors: Sara Merkaj, Khaled Bousabarah, MingDe Lin, Andrej Pala, Gabriel Cassinelli, Leon Jekel, Ryan Bahar, Niklas Tillmanns, Jin Cui, Ajay Malhotra, Jitendra Bhawnani, Irena Tocino, Mariam Aboian

7) TRIPOD analysis of machine learning studies in glioma segmentation
• Authors: Niklas J. Tillmanns, Avery E. Lum, Gabriel Cassinelli, Sara Merkaj, Tej Verma, Harry Subramanian MD, Ryan C. Bahar, Waverly Brim, Jan Lost, Leon Jekel, Sam Payabvash MD, Ichiro Ikuta MD, MingDe Lin PhD, Khaled Bousabarah M.Sc, Michele H. Johnson MD, Jin Cui, Ajay Malhotra MD, Bernd Turowski Prof. Dr., Mariam S. Aboian MD/PhD

8) Why is AI based glioma segmentation not in clinical practice? - A systematic review of the current literature
• Authors: Niklas J. Tillmanns, Avery E. Lum, Gabriel Cassinelli, Sara Merkaj, Tej Verma, Harry Subramanian MD, Ryan C. Bahar, Waverly Brim, Jan Lost, Leon Jekel, Sam Payabvash MD, Ichiro Ikuta MD, MingDe Lin PhD, Khaled Bousabarah M.Sc, Michele H. Johnson MD, Jin Cui, Ajay Malhotra MD, Bernd Turowski Prof. Dr., Mariam S. Aboian MD/PhD