Results 171 to 180 of about 1,826,590 (358)

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR [PDF]

arXiv
Unsupervised anomaly detection and segmentation methods train a model to learn the training distribution as 'normal'. In the testing phase, they identify patterns that deviate from this normal distribution as 'anomalies'. To learn the `normal' distribution, prevailing methods corrupt the images and train a model to reconstruct them. During testing, the
arxiv  

Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity [PDF]

, 2005
Jeffrey A. Fessler, Sang-Woo Lee, Valur Olafsson, H.R. Shi, Douglas C. Noll   +4 more
openalex   +1 more source

Unveiling Structural Heterogeneity and Evolutionary Adaptations of Heteromultimeric Bacterioferritin Nanocages

Advanced Science, EarlyView.
This study explores the structural heterogeneity and evolutionary adaptations of heteromultimeric bacterioferritins. Hetero‐Bfrs, evolved from either a homo‐Bfr or Ftn by gene duplications, differ from homo‐Bfrs substantially in the mechanisms underpinning iron oxidation and reduction despite high similarity in overall structure.
Yingxi Li, Weiwei Wang, Wei Wang, Xing Zhang, Jinghua Chen, Haichun Gao   +5 more
wiley   +1 more source

Direct iterative reconstruction of computed tomography trajectories (DIRECTT) [PDF]

, 2005
Manfred Hentschel, Axel Lange, Jörg Schors   +2 more
openalex   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

Advanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch, Brittany Scheid, Kathryn A Davis, Brian Litt, Arian Ashourvan   +4 more
wiley   +1 more source

A Multi-Frequency Iterative Method for Reconstruction of Rough Surfaces Separating Two Penetrable Media [PDF]

arXiv
A numerical scheme that uses multi-frequency Newton iterations to reconstruct a rough surface profile between two dielectric media is proposed. At each frequency sample, the scheme employs Newton iterations to solve the nonlinear inverse scattering problem.
arxiv  

Fundamental Evaluation of the ML-EM Reconstruction Algorithm for SPECT Images : Resolution, Noise, and Optimal Iterations

, 2001
Hideo Ohnishi, Tadayuki Iida, Satoru Matsuo, Tetsuo Kida, Masahiro Yoshimura, Kazuo Noma, K. Masuda   +6 more
openalex   +2 more sources

Spatial Resolution Analysis of Iterative Image Reconstruction with Separate Regularization of Real and Imaginary Parts [PDF]

, 2006
Valur Olafsson, Jeffrey A. Fessler, Douglas C. Noll   +2 more
openalex   +1 more source

MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics

Advanced Science, EarlyView.
How can we fully understand brain function and disease without uncovering the causal coordination between molecular and neural activity across space and time? MEA‐seqX tackles this challenge by integrating advanced electrophysiology, spatial transcriptomics, and artificial intelligence predictions, revealing multiscale dynamics.
Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin   +9 more
wiley   +1 more source

Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time. [PDF]

Dentomaxillofac Radiol, 2023
Ramage A, Lopez Gutierrez B, Fischer K, Sekula M, Santaella GM, Scarfe W, Brasil DM, de Oliveira-Santos C.   +7 more
europepmc   +1 more source