Results 91 to 100 of about 1,181,367 (337)

A New Methodology for the Detection and Extraction of Hyperbolas in GPR Images

open access: yesRemote Sensing, 2021
Reliable detection of underground infrastructure is essential for infrastructure modernization works, the implementation of BIM technology, and 3D cadasters.
Klaudia Onyszko   +1 more
doaj   +1 more source

Use of Mental Imagery in Psychotherapy: A Critical Review [PDF]

open access: yes, 1975
The paper presents arguments in favor of the use of mental imagery for therapeutic purposes. Several existing imagery approaches to psychotherapy are critically examined and suggestions for future inquiry are offered.
Panagiotou, Nancy C., Sheikh, Anees A
core   +1 more source

A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia

open access: yesScientific Reports, 2020
For most people, visual imagery is an innate feature of many of our internal experiences, and appears to play a critical role in supporting core cognitive processes.
Alexei J. Dawes   +3 more
semanticscholar   +1 more source

Metric learning by simultaneously learning linear transformation matrix and weight matrix for person re‐identification

open access: yesIET Computer Vision, 2019
Mahalanobis metric learning is one of the most popular methods for person re‐identification. Most existing metric learning methods regularly formulate the person re‐identification as an unconstrained optimisation problem and the constraints on the ...
Jian'an Zhang, Qi Wang, Yuan Yuan
doaj   +1 more source

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson   +20 more
wiley   +1 more source

Early Action Prediction With Generative Adversarial Networks

open access: yesIEEE Access, 2019
Action Prediction is aimed to determine what action is occurring in a video as early as possible, which is crucial to many online applications, such as predicting a traffic accident before it happens and detecting malicious actions in the monitoring ...
Dong Wang, Yuan Yuan, Qi Wang
doaj   +1 more source

Alveolar Soft Part Sarcoma in Pediatric and Young Adult Patients: A Report From the Children's Oncology Group Study ARST0332

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Alveolar soft part sarcoma (ASPS) is a rare soft tissue sarcoma occurring most commonly in adolescence and young adulthood. Methods We present the clinical characteristics, treatments, and outcomes of patients with newly diagnosed ASPS enrolled on the Children's Oncology Group study ARST0332.
Jacquelyn N. Crane   +11 more
wiley   +1 more source

Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery

open access: yesRemote Sensing, 2019
Independent of daylight and weather conditions, synthetic aperture radar (SAR) imagery is widely applied to detect ships in marine surveillance. The shapes of ships are multi-scale in SAR imagery due to multi-resolution imaging modes and their various ...
Yuanyuan Wang   +4 more
semanticscholar   +1 more source

Visual mental imagery engages the left fusiform gyrus, but not the early visual cortex: a meta-analysis of neuroimaging evidence

open access: yesbioRxiv, 2020
The dominant neural model of visual mental imagery (VMI) stipulates that memories from the medial temporal lobe acquire sensory features in early visual areas.
Alfredo Spagna   +3 more
semanticscholar   +1 more source

RGB-D Scene Recognition via Spatial-Related Multi-Modal Feature Learning

open access: yesIEEE Access, 2019
RGB-D image-based scene recognition has achieved significant performance improvement with the development of deep learning methods. While convolutional neural networks can learn high-semantic level features for object recognition, these methods still ...
Zhitong Xiong, Yuan Yuan, Qi Wang
doaj   +1 more source

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