Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning von Bousabarah, Khaled, Letzen, Brian, Tefera, Jonathan, Savic, Lynn, Schobert, Isabel, Schlachter, Todd, Staib, Lawrence H., Kocher, Martin, Chapiro, Julius, Lin, MingDe

Volltext

Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE von Schobert, Isabel Theresa, Savic, Lynn Jeanette, Chapiro, Julius, Bousabarah, Khaled, Chen, Evan, Laage-Gaupp, Fabian, Tefera, Jonathan, Nezami, Nariman, Lin, MingDe, Pollak, Jeffrey, Schlachter, Todd

Volltext

Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data von Bousabarah, Khaled, Ruge, Maximilian, Brand, Julia-Sarita, Hoevels, Mauritius, Rueß, Daniel, Borggrefe, Jan, Große Hokamp, Nils, Visser-Vandewalle, Veerle, Maintz, David, Treuer, Harald, Kocher, Martin

Volltext

Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain... von Aboian, Mariam, Bousabarah, Khaled, Kazarian, Eve, Zeevi, Tal, Holler, Wolfgang, Merkaj, Sara, Cassinelli Petersen, Gabriel, Bahar, Ryan, Subramanian, Harry, Sunku, Pranay, Schrickel, Elizabeth, Bhawnani, Jitendra, Zawalich, Mathew, Mahajan, Amit, Malhotra, Ajay, Payabvash, Sam, Tocino, Irena, Lin, MingDe, Westerhoff, Malte

Volltext

Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas von Tillmanns, Niklas, Lost, Jan, Tabor, Joanna, Vasandani, Sagar, Vetsa, Shaurey, Marianayagam, Neelan, Yalcin, Kanat, Erson-Omay, E. Zeynep, von Reppert, Marc, Jekel, Leon, Merkaj, Sara, Ramakrishnan, Divya, Avesta, Arman, de Oliveira Santo, Irene Dixe, Jin, Lan, Huttner, Anita, Bousabarah, Khaled, Ikuta, Ichiro, Lin, MingDe, Aneja, Sanjay, Turowski, Bernd, Aboian, Mariam, Moliterno, Jennifer

Volltext

Prospective study of Lipiodol distribution as an imaging marker for doxorubicin pharmacokinetics during conventional transarterial chemoembolization of liver malignancies von Savic, Lynn J., Chapiro, Julius, Funai, Eliot, Bousabarah, Khaled, Schobert, Isabel T., Isufi, Edvin, Geschwind, Jean-Francois H., Stark, Sophie, He, Ping, Rudek, Michelle A., Perez Lozada, Juan Carlos, Ayyagari, Rajasekhara, Pollak, Jeffrey, Schlachter, Todd

Volltext

Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutio... von Bousabarah, Khaled, Blanck, Oliver, Temming, Susanne, Wilhelm, Maria-Lisa, Hoevels, Mauritius, Baus, Wolfgang W, Ruess, Daniel, Visser-Vandewalle, Veerle, Ruge, Maximilian I, Treuer, Harald, Kocher, Martin

Volltext

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis von Bahar, Ryan C, Merkaj, Sara, Cassinelli Petersen, Gabriel I, Tillmanns, Niklas, Subramanian, Harry, Brim, Waverly Rose, Zeevi, Tal, Staib, Lawrence, Kazarian, Eve, Lin, MingDe, Bousabarah, Khaled, Huttner, Anita J, Pala, Andrej, Payabvash, Seyedmehdi, Ivanidze, Jana, Cui, Jin, Malhotra, Ajay, Aboian, Mariam S

Volltext

A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information von Ramakrishnan, Divya, Jekel, Leon, Chadha, Saahil, Janas, Anastasia, Moy, Harrison, Maleki, Nazanin, Sala, Matthew, Kaur, Manpreet, Petersen, Gabriel Cassinelli, Merkaj, Sara, von Reppert, Marc, Baid, Ujjwal, Bakas, Spyridon, Kirsch, Claudia, Davis, Melissa, Bousabarah, Khaled, Holler, Wolfgang, Lin, MingDe, Westerhoff, Malte, Aneja, Sanjay, Memon, Fatima, Aboian, Mariam S.

Volltext

Radiomics in radiation oncology—basics, methods, and limitations von Lohmann, Philipp, Bousabarah, Khaled, Hoevels, Mauritius, Treuer, Harald

Volltext

Acceleration of Volumetric Abdominal Aortic Aneurysm Measurements by Leveraging Artificial Intelligence von Weiss, David, Hager, Thomas, Aboian, Mariam, Lin, MingDe, Bousabarah, Khaled, Renninghoff, Daniel, Holler, Wolfgang, Simmons, Kathryn, Loh, Sarah, Fischer, Uwe, Deuschl, Cornelius, Aneja, Sanjay, Aboian, Edouard

Volltext

NIMG-07. APPLYING A GLIOMA-TRAINED DEEP LEARNING AUTO-SEGMENTATION TOOL ON BM PRE- AND POST-RADIOSURGERY von Kaur, Manpreet, Varghese, Sunitha, Jekel, Leon, Tillmanns, Niklas, Merkaj, Sara, Bousabarah, Khaled, Lin, MingDe, Bhawnani, Jitendra, Chiang, Veronica, Aboian, Mariam

Volltext

Bias assessment of Artificial Intelligence papers in Glioma segmentation using TRIPOD (P14-9.005) von Tillmanns, Niklas, Lum, Avery, Brim, Waverly, Subramanian, Harry, Payabvash, Sam, Ikuta, Ichiro, Lin, MingDe, Bousabarah, Khaled, Johnson, Michele, Malhotra, Ajay, Aboian, Mariam

Volltext

Machine learning approaches for automated segmentation of gliomas (P3-9.004) von Tillmanns, Niklas, Lum, Avery, Brim, Waverly, Subramanian, Harry, Payabvash, Sam, Ikuta, Ichiro, Lin, MingDe, Bousabarah, Khaled, Johnson, Michele, Malhotra, Ajay, Aboian, Mariam

Volltext

Semi-Automated Longitudinal Lesion Tracking In PACS Reveals High Proportion of Metastatic Lesions Showing Mixed Response To Radiosurgery (P14-9.001) von Petersen, Gabriel Cassinelli, Verma, Tej, Bousabarah, Khaled, Jekel, Leon, Merkaj, Sara, Bahar, Ryan, Fadel, Sandra Abi, Ikuta, Ichiro, Lin, MingDe, Omuro, Antonio, Aboian, Mariam

Volltext

Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation von Zopfs, David, Bousabarah, Khaled, Lennartz, Simon, Santos, Daniel Pinto dos, Schlaak, Max, Theurich, Sebastian, Reimer, Robert Peter, Maintz, David, Haneder, Stefan, Große Hokamp, Nils

Volltext

NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET von Jekel, Leon, Bousabarah, Khaled, Lin, MingDe, Merkaj, Sara, Kaur, Manpreet, Avesta, Arman, Aneja, Sanjay, Omuro, Antonio, Chiang, Veronica, Scheffler, Björn, Aboian, Mariam

Volltext

NIMG-20. INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET von Lost, Jan, Tillmans, Niklas, Merkaj, Sara, von Reppert, Marc, Lin, MingDe, Bousabarah, Khaled, Huttner, Anita, Aneja, Sanjay, Omuro, Antonio, Aboian, Mariam, Avesta, Arman

Volltext

Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation t... von Bousabarah, Khaled, Temming, Susanne, Hoevels, Mauritius, Borggrefe, Jan, Baus, Wolfgang W., Ruess, Daniel, Visser-Vandewalle, Veerle, Ruge, Maximilian, Kocher, Martin, Treuer, Harald

Volltext

Development of a workflow efficient PACS based automated brain tumor segmentation and radiomic feature extraction for clinical implementation (N2.003) von Aboian, Mariam, Bousabarah, Khaled, Kazarian, Eve, Zeevi, Tal, Holler, Wolfgang, Merkaj, Sara, Petersen, Gabriel Cassinelli, Bahar, Ryan, Subramanian, Harry, Sunku, Pranay, Schrickel, Elizabeth, Mahajan, Amit, Malhotra, Ajay, Payabvash, Sam, Tocino, Irena, Lin, MingDe, Westerhoff, Malte

Volltext