TP1a.3

An Adaptive and Interpretable Framework for Biomedical Image Analysis

Samarth Singh, Scott Acton, Shayan Moosa, Natasha Sheybani, University of Virginia, United States
Session:
TP1a: Special Session on Adaptive Signal Processing and Machine Learning: A Tribute to Sam Stearns (Invited) Lecture
Track:
Adaptive Systems, Machine Learning, Data Analytics
Location:
Evergreen
Presentation Time:
Tue, 31 Oct, 14:20 - 14:45 PT (UTC -8)
Session Chair:
Marios Pattichis, University of New Mexico
Presentation
Discussion
Resources
No resources available.
Session TP1a
TP1a.1: Quantum Linear Prediction for System Identification and Spectral Estimation Applications
Aradhita Sharma, Glen Uehara, Andreas Spanias, Arizona State University, United States
TP1a.2: Complex-valued Adaptive Filtering: Importance of Noncircularity and Wirtinger Calculus
Tulay Adali, University of Maryland, Baltimore County, United States
TP1a.3: An Adaptive and Interpretable Framework for Biomedical Image Analysis
Samarth Singh, Scott Acton, Shayan Moosa, Natasha Sheybani, University of Virginia, United States
TP1a.4: A Review of Machine Learning Methods Applied to Video Analysis Systems
Marios Pattichis, Venkatesh Jatla, University of New Mexico, United States; Alvaro E. Ulloa Cerna, Pontificia Universidad Catolica del Peru, Peru
Contacts