SST Pattern Test in ACSPO clear-sky mask for VIIRS

Autor: Gladkova, I., Kihai, Y., Ignatov, A., Shahriar, F., Petrenko, B.

Publikováno v: In Remote Sensing of Environment April 2015 160:87-98

Exploring the Impact of 3D Fast Spin Echo and Inversion Recovery Gradient Echo Sequences Magnetic Resonance Imaging Acquisition on Automated Brain Tumor Segmentation

Autor: Mana Moassefi, MD, Shahriar Faghani, MD, Sara Khanipour Roshan, MD, Gian Marco Conte, MD, PhD, Seyed Moein Rassoulinejad Mousavi, MD, Timothy J. Kaufmann, MD, Bradley J. Erickson, MD, PhD

Publikováno v: Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 2, Pp 231-240 (2024)

Objective: To conduct a study comparing the performance of automated segmentation techniques using 2 different contrast-enhanced T1-weighted (CET1) magnetic resonance imaging (MRI) acquisition protocol. Patients and Methods: We collected 100 preopera

Externí odkaz: https://doaj.org/article/570ebd6fd6bb437cb55f349f08f191a1

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Autor: Dominic LaBella, Omaditya Khanna, Shan McBurney-Lin, Ryan Mclean, Pierre Nedelec, Arif S. Rashid, Nourel hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav I. Warman, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar, Gennaro D’Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas M. Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, Evan Calabrese

Publikováno v: Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)

Abstract Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment

Externí odkaz: https://doaj.org/article/a98787bda3824eadba3e679915417559

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Development of a deep learning model for the automated detection of green pixels indicative of gout on dual energy CT scan

Autor: Shahriar Faghani, Rhodes G. Nicholas, Soham Patel, Francis I. Baffour, Mana Moassefi, Pouria Rouzrokh, Bardia Khosravi, Garret M. Powell, Shuai Leng, Katrina N. Glazebrook, Bradley J. Erickson, Christin A. Tiegs-Heiden

Publikováno v: Research in Diagnostic and Interventional Imaging, Vol 9, Iss , Pp 100044- (2024)

Background: Dual-energy CT (DECT) is a non-invasive way to determine the presence of monosodium urate (MSU) crystals in the workup of gout. Color-coding distinguishes MSU from calcium following material decomposition and post-processing. Most softwar

Externí odkaz: https://doaj.org/article/0cb6cdc5dcba4d3da14462de6f09bdbb