基本信息
浏览量:242
职业迁徙
个人简介
Dr. Tanveer Syeda-Mahmood is an IBM Fellow and Global Imaging AI Leader in IBM Research. Previously, she was the Chief Scientist/overall lead for the Medical Sieve Radiology Grand Challenge project in IBM Research, Almaden. This was a large exploratory research project with global participation from many IBM Research Labs around the world including Almaden Labs in San Jose, CA, Haifa Research Labs in Israel and Melbourne Research Lab in Australia. The goal of this project was to develop automated radiology and cardiology assistants of the future that help clinicians in their decision making. The project has led to the introduction of AI in radiology through successful partnerships such as with RSNA (Radiological Society of North America) with the Eyes of Watson Exhibit and the launch of the Watson Health Imaging business from the acquisition of Merge Healthcare. The first AI in radiology products from IBM Watson Health called Patient Synopsis and Clinical Review as well as the underlying platform are based on the technology piloted in the Medical Sieve and its feeder projects. The work from her team has produced over 10 best paper awards at major healthcare forums such as MICCAI, AMIA, including the latest Homer Warner Award for outstanding contribution to the field of Biomedical Informatics at AMIA'2020.
Dr. Syeda-Mahmood has recently launched another exciting exploratory project in the intersection area of AI, Neuroscience and Cloud technologies that has both healthcare applications for the memory-impaired individuals but also key to generating a new technological infrastructure for next generation storage systems modeled after human memory.
Dr. Syeda-Mahmood has recently launched another exciting exploratory project in the intersection area of AI, Neuroscience and Cloud technologies that has both healthcare applications for the memory-impaired individuals but also key to generating a new technological infrastructure for next generation storage systems modeled after human memory.
研究兴趣
论文共 215 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Niharika S. D'Souza,Hongzhi Wang,Andrea Giovannini,Antonio Foncubierta-Rodriguez,Kristen L. Beck, Orest Boyko,Tanveer F. Syeda-Mahmood
MEDICAL IMAGE ANALYSIS (2024): 103064-103064
Satyananda Kashyap,Neerav Karani, Alexander Shang, Niharika D'Souza,Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson,Polina Golland,
APPLICATIONS OF MEDICAL ARTIFICIAL INTELLIGENCE, AMAI 2023 (2024): 165-175
Nature Machine Intelligenceno. 3 (2024): 291-306
MACHINE LEARNING FOR MULTIMODAL HEALTHCARE DATA, ML4MHD 2023 (2024): 141-154
AMIA ... Annual Symposium proceedings. AMIA Symposium (2024): 736-743
引用0浏览0WOS引用
0
0
Evangelia Katsoulakis,Qi Wang,Huanmei Wu,Leili Shahriyari, Richard Fletcher,Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela Jackson, Ying Xiao,Tanveer Syeda-Mahmood, Richard Tuli,
npj Digital Medicineno. 1 (2024): 1-11
Matthew Grudza, Brandon Salinel,Sarah Zeien, Matthew Murphy,Jake Adkins,Corey T. Jensen, Curtis Bay,Vikram Kodibagkar,Phillip Koo,Tomislav Dragovich, Michael A. Choti,Madappa Kundranda,
WORLD JOURNAL OF RADIOLOGYno. 12 (2023): 359-369
Rodrigo Bonazzola,Enzo Ferrante,Nishant Ravikumar,Yan Xia, Bernard Keavney, Sven Plein,Tanveer Syeda-Mahmood,Alejandro F Frangi
arxiv(2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn