Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Naren Nallapareddy"'
Autor:
Brooke N. Macnamara, Ibrahim Berber, M. Cenk Çavuşoğlu, Elizabeth A. Krupinski, Naren Nallapareddy, Noelle E. Nelson, Philip J. Smith, Amy L. Wilson-Delfosse, Soumya Ray
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-9 (2024)
Abstract Artificial intelligence in the workplace is becoming increasingly common. These tools are sometimes used to aid users in performing their task, for example, when an artificial intelligence tool assists a radiologist in their search for abnor
Externí odkaz:
https://doaj.org/article/4cba2599467f4ab189152739d77762d4
Publikováno v:
Entropy, Vol 25, Iss 12, p 1646 (2023)
Feature selection metrics are commonly used in the machine learning pipeline to rank and select features before creating a predictive model. While many different metrics have been proposed for feature selection, final models are often evaluated by ac
Externí odkaz:
https://doaj.org/article/e148e59cd9cd41009ce34e0d96d87c95
Autor:
Ali Fatemi, Brandon Driscoll, Naren Nallapareddy, Krishna S. Nayak, Catherine Coolens, Cynthia Ménard, Sangjune Laurence Lee, Caroline Chung, Warren D. Foltz
Publikováno v:
Tomography
Volume 5
Issue 1
Pages 77-89
Tomography; Volume 5; Issue 1; Pages: 77-89
Volume 5
Issue 1
Pages 77-89
Tomography; Volume 5; Issue 1; Pages: 77-89
Accurate, patient-specific measurement of arterial input functions (AIF) may improve model-based analysis of vascular permeability. This study investigated factors affecting AIF measurements from magnetic resonance imaging (MRI) magnitude (AIFMAGN) a
Autor:
Amol G Mahurkar, Micha Feigin, Achuta Kadambi, Naren Nallapareddy, Ameya Joshi, Pradyumna Reddy, Ramesh Raskar
Publikováno v:
SIGGRAPH Posters
Publikováno v:
ICIP
We propose a semi-automatic technique to segment corpus callosum (CC) using a two-stage snake formulation: A restricted affine transform (RAT) constrained snake followed by an unconstrained snake in an iterative fashion. A statistical model is develo