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

Colletotrichum fructicola co-opts cytotoxic ribonucleases that antagonize host competitive microorganisms to promote infection

Autor: Chunhao Wang, Mengqing Han, Yanyan Min, Jiayi Hu, Yuemin Pan, Lili Huang, Jiajun Nie

Publikováno v: mBio, Vol 15, Iss 8 (2024)

ABSTRACT Phytopathogens secrete numerous molecules into the environment to establish a microbial niche and facilitate host infection. The phytopathogenic fungus Colletotrichum fructicola, which causes pear anthracnose, can colonize different plant ti

Externí odkaz: https://doaj.org/article/0418b5e790e14e8797898b1bc691543d

Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients

Autor: Zhenyu Yang, Chunhao Wang, Yuqi Wang, Kyle J. Lafata, Haozhao Zhang, Bradley G. Ackerson, Christopher Kelsey, Betty Tong, Fang-Fang Yin

Publikováno v: Frontiers in Oncology, Vol 13 (2023)

ObjectiveTo develop a Multi-Feature-Combined (MFC) model for proof-of-concept in predicting local failure (LR) in NSCLC patients after surgery or SBRT using pre-treatment CT images. This MFC model combines handcrafted radiomic features, deep radiomic

Externí odkaz: https://doaj.org/article/fa799e1fc18c41ffb6aad2191e07972a

Thermal State Preparation via Rounding Promises

Autor: Patrick Rall, Chunhao Wang, Pawel Wocjan

Publikováno v: Quantum, Vol 7, p 1132 (2023)

A promising avenue for the preparation of Gibbs states on a quantum computer is to simulate the physical thermalization process. The Davies generator describes the dynamics of an open quantum system that is in contact with a heat bath. Crucially, it

Externí odkaz: https://doaj.org/article/8684662a4b644eeaa835bdfafcc55161

Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy

Autor: Wentao Wang, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Manisha Palta, Brian Czito, Christopher G. Willett, Qiuwen Wu, Yaorong Ge, Fang-Fang Yin, Q. Jackie Wu

Publikováno v: Frontiers in Artificial Intelligence, Vol 3 (2020)

Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans by direct prediction of fl

Externí odkaz: https://doaj.org/article/3bfd1c579102497790433e421eb308f3