Results 41 to 50 of about 26,722,291 (305)

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma

open access: yesNature Communications
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and
Anahita Fathi Kazerooni   +31 more
doaj   +1 more source

On the Data-Driven COS Method [PDF]

open access: yesSSRN Electronic Journal, 2017
In this paper, we present the data-driven COS method, ddCOS. It is a Fourier-based financial option valuation method which assumes the availability of asset data samples: a characteristic function of the underlying asset probability density function is not required.
Á. Leitao Rodriguez (Álvaro)   +3 more
openaire   +6 more sources

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Data‐Driven Shape Interpolation and Morphing Editing

open access: yes, 2017
Shape interpolation has many applications in computer graphics such as morphing for computer animation. In this paper, we propose a novel data‐driven mesh interpolation method.
Xia, Shihong   +3 more
core   +1 more source

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision

open access: yesIEEE Access
As the global production of waste continues to rise, there is a growing demand for more effective waste management strategies to handle this expanding problem.
Dishant Mewada   +8 more
doaj   +1 more source

Data-Driven Algorithm Design [PDF]

open access: yes, 2020
Chapter 29 of the book Beyond the Worst-Case Analysis of Algorithms, edited by Tim Roughgarden and published by Cambridge University Press (2020)
openaire   +3 more sources

Data-driven robust optimization [PDF]

open access: yesMathematical Programming, 2017
38 pages, 15 page appendix, 7 figures.
Dimitris Bertsimas   +2 more
openaire   +5 more sources

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

Detecting the overfilled status of domestic and commercial bins using computer vision

open access: yesIntelligent Systems with Applications, 2023
As the amount of waste being produced globally is increasing, there is a need for more efficient waste management solutions to accommodate this expansion. The first step in waste management is the collection of bins or containers.
Cathaoir Agnew   +8 more
doaj   +1 more source

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