[HTML][HTML] Head and neck tumor segmentation in PET/CT: the HECKTOR challenge
This paper relates the post-analysis of the first edition of the HEad and neCK TumOR (HECKTOR)
challenge. This challenge was held as a satellite event of the 23rd International …
challenge. This challenge was held as a satellite event of the 23rd International …
Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns
Symbolic dynamic filtering (SDF) has been recently reported in literature as a pattern
recognition tool for early detection of anomalies (ie, deviations from the nominal behavior) in …
recognition tool for early detection of anomalies (ie, deviations from the nominal behavior) in …
Dynamic intelligent lighting for directing visual attention in interactive 3-d scenes
Recent enhancements in real-time graphics have facilitated the design of high fidelity game
environments with complex 3-D worlds inhabited by animated characters. Under such …
environments with complex 3-D worlds inhabited by animated characters. Under such …
Underwater mine detection using symbolic pattern analysis of sidescan sonar images
This paper presents symbolic pattern analysis of sidescan sonar images for detection of mines
and mine-like objects in the underwater environment. For robust feature extraction, sonar …
and mine-like objects in the underwater environment. For robust feature extraction, sonar …
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Since multiple MRI contrasts of the same anatomy contain redundant information, one
contrast can guide the reconstruction of an undersampled subsequent contrast. To this end, …
contrast can guide the reconstruction of an undersampled subsequent contrast. To this end, …
New approaches to eliminating common-noise artifacts in recordings from intracortical microelectrode arrays: Inter-electrode correlation and virtual referencing
KJ Paralikar, CR Rao, RS Clement - Journal of neuroscience methods, 2009 - Elsevier
Intracortical microelectrode arrays record multi-unit extracellular activity for neurophysiology
studies and for brain–machine interface applications. The common first step is neural spike-…
studies and for brain–machine interface applications. The common first step is neural spike-…
AI‐based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models
Background Magnetic Resonance acquisition is a time consuming process, making it
susceptible to patient motion during scanning. Even motion in the order of a millimeter can …
susceptible to patient motion during scanning. Even motion in the order of a millimeter can …
UPCMR: A Universal Prompt-Guided Model for Random Sampling Cardiac MRI Reconstruction
Cardiac magnetic resonance imaging (CMR) is vital for diagnosing heart diseases, but long
scan time remains a major drawback. To address this, accelerated imaging techniques have …
scan time remains a major drawback. To address this, accelerated imaging techniques have …
Robust Fault Detection System for Batteries in Renewable Energy Storage Systems
CMK Rao, Y Chaudhary, N Singhal… - 2025 9th International …, 2025 - ieeexplore.ieee.org
Battery Energy Storage systems play a significant role in renewable energy grids, where
fault detection is critical to ensuring reliability, safety, and optimal performance. Existing …
fault detection is critical to ensuring reliability, safety, and optimal performance. Existing …
[BOOK][B] Data-driven pattern identification in complex systems using symbolic dynamic filtering
C Rao - 2011 - search.proquest.com
Symbolic dynamic filtering (SDF) has been recently reported in literature as a pattern
recognition tool for early detection of anomalies (ie, deviations from the nominal behavior) in …
recognition tool for early detection of anomalies (ie, deviations from the nominal behavior) in …
