GREGORY SCOTT BERNS
Medical Practice in Atlanta, GA
License number
Pennsylvania MD059626L
Category
Medicine
Type
Medical Physician and Surgeon
Address
Address
2
Atlanta, GA 30328
Pennsylvania
Pennsylvania
Personal information
See more information about GREGORY SCOTT BERNS at radaris.comName
Address
Phone
7375 Princeton Way, Atlanta, GA 30328
7375 Princeton Way NE, Atlanta, GA 30328
Professional information
Dr. Gregory S Berns, Atlanta GA - MD (Doctor of Medicine)
Specialties:
Neuropsychiatry (Psychiatry)
Address:
7375 Princeton Way NE, Atlanta 30328
1841 Clifton Rd NE, Atlanta 30329
(404) 727-2556 (Phone)
1841 Clifton Rd NE, Atlanta 30329
(404) 727-2556 (Phone)
Certifications:
Psychiatry, 2000
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
University of California At San Diego
Graduated: 1994
U Pittsburgh Med Ctr
Wstn Psychiat Inst & Clin-U Pittsburgh
University of California At San Diego
Graduated: 1994
U Pittsburgh Med Ctr
Wstn Psychiat Inst & Clin-U Pittsburgh
Gregory S Berns, Atlanta GA
Specialties:
Psychiatrist
Address:
1841 Clifton Rd Ne, Atlanta, GA 30329
Education:
University of California San Diego, School of Medicine - Doctor of Medicine
University of California Davis - Doctor of Philosophy
University of California Davis - Doctor of Philosophy
Systems And Methods Providing Functional Magnetic Resonance Imaging Data Analysis Services
US Patent:
2002006, Jun 6, 2002
Filed:
Dec 6, 2000
Appl. No.:
09/732219
Inventors:
Gregory Berns - Atlanta GA, US
International Classification:
G06F015/16
US Classification:
709/203000
Abstract:
Systems and method for providing functional magnetic resonance imaging (fMRI) data analysis and comparison services are provided. The system comprises an interface, a processing engine, an fMRI comparison engine, a searchable database, and a billing functionality. The interface may be adapted to receive from a client via a communications network a client data set containing information related to a functional magnetic resonance image. The processing engine may be programmed to identify a plurality of spatially independent components related to the client data set by applying a blind source separation algorithm to the client data set. The searchable database may include information related to (i) a plurality of sets of independent components corresponding to a plurality of functional magnetic resonance image data sets and (ii) a set of fundamental independent components comprising common components which exist in a scientifically-significant portion of the plurality of sets of independent components. The fMRI comparison engine may be programmed to compare the plurality of independent components related to the client data set to the set of fundamental independent components in the database. The interface may be coupled to the comparison engine and adapted to deliver to the client information based on the comparison via the communications network. The billing functionality may be coupled to the interface and adapted to charge the client for delivering the information based on the comparison.