Results 101 to 110 of about 1,907,225 (252)

Preliminary results of automatic cotton crops mapping using remote sensing data [PDF]

E3S Web of Conferences
The paper presents the results of application of the method of automatic generation of representative and unbiased set for in-season cotton crop mapping, based on crop simulation model, previously parameterized using ground truth and satellite data.
Gulyaev Rinat, Sultonov Azamat, Yunusov Ravil, Rafikov Damir, Gulyaeva Kamila, Kimsanbaev Oybek, Kakhkhorov Bakhtiyor   +6 more
doaj   +1 more source

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen, Mark Paine, Soohyun Lee, Amir Fazlollahi, Baibin (Ben) Wang, John D. O'Sullivan, Peter J. Nestor   +6 more
wiley   +1 more source

White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram, Guangwei Du, Sangam Kanekar, Nandakumar Nagaraja   +3 more
wiley   +1 more source

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato, Alessia Giugno, Miriam Sturniolo, Enrico Fratto, Pio Zoleo, Francesca Felicia Operto, Ilaria Sammarra, Antonio Gambardella   +7 more
wiley   +1 more source

Ground water pollution potential of Butler County, Ohio

, 1991
Includes bibliographical references (pages 22-25)A ground water pollution potential map of Butler County has been prepared using the DRASTIC mapping process.

core  

Quasi-Truth as Truth of a Ramsey Sentence [PDF]

, 2011
I show the quasi-truth of a sentence in a partial structure to be equivalent to the truth of a specific Ramsey sentence in a structure that corresponds naturally to the partial structure.
Lutz, Sebastian
core  

Truth and reconciliation at the grassroots : community truth processes in the Southern United States [PDF]

, 2008
Includes bibliographical references (leaves 94-98).Truth commissions are implemented in order to "deal with the past" in the context of a transition in government from authoritarian to democratic rule.
Dollar, Lauren
core   +1 more source

Utility of the APE2 Score as a Diagnostic Tool for Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To retrospectively evaluate the diagnostic performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score relative to clinician‐adjudicated autoimmune encephalitis (AE) and the Graus criteria in a tertiary neuroimmunology referral cohort, including antibody‐negative AE.
Bijoya Basu, Sophia F. Damman, Samhitha M. Rai, Hesham Abboud   +3 more
wiley   +1 more source

H01 synapse ground truth

<p>Synapse ground truth used for the H01 study.</p> <p>Ground truth used to train a network for synapse identification (see associated paper for details) ares contained in the six Synapse_GT_6_subvolumes.zip</p> <p>Ground ...
Wagner-Carena, Julian, Lau, Joanna, Aley, David, Shapson-Coe, Alexander, Fitzmaurice, Angerica, Kar, Rohin   +5 more
core   +1 more source

A Posteriori Deep Learning Segmentation Quality Estimation Based on Prediction Entropy

Image Analysis and Stereology
Image segmentation is a common intermediate operation in many image processing applications. On automated systems it is important to evaluate how well it, or its subsystems are performing without access to the Ground Truth.
Jose-Marcio Martins da Cruz, Mateus Sangalli, Etienne Decencière Ferrandière, Santiago Velasco-Forero, Thérèse Baldeweck   +4 more
doaj   +1 more source