JUN ZHANG, MD
Osteopathic Medicine in Houston, TX

License number
Texas P1951
Category
Osteopathic Medicine
Type
Hematology & Oncology
License number
Texas 2008-01215
Category
Osteopathic Medicine
Type
Hematology & Oncology
Address
Address
1 Baylor Plz Ms: Bcm187, Houston, TX 77030
Phone
(713) 798-5298

Personal information

See more information about JUN ZHANG at radaris.com
Name
Address
Phone
Jun Zhang
4907 Big Cedar Cir, Missouri City, TX 77459
(281) 208-8088
Jun Zhang
5400 Legacy Dr, Plano, TX 75024
(214) 924-7240
Jun Zhang
3805 Skyline Dr, Plano, TX 75025
(504) 473-3479
Jun Zhang, age 55
3921 Gramercy St, Houston, TX 77025
Jun Zhang
3905 Bridgeport Dr, Plano, TX 75093

Organization information

See more information about JUN ZHANG at bizstanding.com

Jun Zhang MD

6620 Main St, Houston, TX 77030

Industry:
Internist
Phone:
(713) 798-2500 (Phone)
Jun Zhang

Professional information

Jun Zhang Photo 1

Research Scientist At Pathfinder, A Schlumberger Company

Position:
Senior Research Scientist at Pathfinder, A Schlumberger Company (at Katy, TX)
Location:
Houston, Texas Area
Industry:
Oil & Energy
Work:
Pathfinder, A Schlumberger Company (at Katy, TX) since Jul 2008 - Senior Research Scientist Rice University, Department of Electrical and Computer Engineering Aug 2003 - Jun 2008 - Research Assistant Peking University, Department of Nuclear Physics Sep 1999 - Jun 2003 - Research Assistant
Education:
Rice University 2003 - 2008
Ph.D., M.S., Applied Physics
Peking University 1999 - 2003
B.S., Nuclear Physics
Nankai High School 1996 - 1999
Honor & Awards:
• Welch Foundation Research Fellowship, 2004-2008 • Rice University Graduate Student Award and Fellowship, 2003-2004 • Honor of Outstanding Graduation, Peking University, 2003 • Freshman Award of Peking University, 1999 • Awards in National Physics Olympiad Competition, 1998-1999


Jun Zhang Photo 2

Jun Zhang, Houston TX

Specialties:
Internal Medicine, Hematology & Oncology, Medical Oncology, Plastic Surgery Within the Head and Neck
Work:
Baylor College of Medicine
6620 Main St, Houston, TX 77030
Education:
Hunan Medical University (1992)


Jun Zhang Photo 3

Dr. Jun Zhang, Houston TX - MD (Doctor of Medicine)

Address:
Houston Office
1 Baylor Plz, Houston 77030
(713) 798-1600 (Phone), (713) 798-1642 (Fax)
Baylor Clinic Oncology
6620 Main St SUITE 1375, Houston 77030
(713) 798-3750 (Phone)
Baylor Coll Medcn Hmtlgy Onclgy
1 Baylor Plz SUITE BCM187, Houston 77030
(713) 798-7535 (Phone)
Hospitals:
Houston Office
1 Baylor Plz, Houston 77030
Baylor Coll Medcn Hmtlgy Onclgy
1 Baylor Plz SUITE BCM187, Houston 77030
Baylor Clinic Oncology
6620 Main St SUITE 1375, Houston 77030
New Hanover Regional Medical Center
2131 South 17Th St, Wilmington 28401


Jun Zhang Photo 4

Cyclic Noise Removal In Borehole Imaging

US Patent:
2011003, Feb 17, 2011
Filed:
Oct 26, 2010
Appl. No.:
12/911851
Inventors:
Junichi Sugiura - Houston TX, US
Jun Zhang - Houston TX, US
Paul Boonen - Katy TX, US
Zhipeng Liu - Houston TX, US
Assignee:
SMITH INTERNATIONAL, INC. - Houston TX
International Classification:
G06K 9/40, G06K 9/36
US Classification:
382275, 382280
Abstract:
A method for removing cyclic noise from a borehole image includes transforming the image into the frequency domain using a two-dimensional (2-D) transform (e.g., using a discrete cosine transform). The cyclic noise components (peaks) are removed from the transformed image which is then inverse transformed back into the spatial domain using an inverse 2-D transform to obtain a corrected image. An automated method enables the cyclic peaks to be identified and removed from the borehole image via downhole processing.


Jun Zhang Photo 5

Cyclic Noise Removal In Borehole Imaging

US Patent:
2010032, Dec 23, 2010
Filed:
Jun 18, 2009
Appl. No.:
12/486954
Inventors:
Jun Zhang - Houston TX, US
Paul Boonen - Katy TX, US
Zhipeng Liu - Houston TX, US
Assignee:
SMITH INTERNATIONAL, INC. - Houston TX
International Classification:
G06K 9/40, G06F 17/14
US Classification:
382275, 708404
Abstract:
A method for removing cyclic noise from a borehole image includes transforming the image into the frequency domain using a two-dimensional (2-D) Fourier Transform, removing cyclic noise components from the transformed image, and inverse transforming the image back into the spatial domain using an inverse 2-D Fourier Transform. The cyclic noise component may also be isolated by subtracting the corrected image from the original image or by removing all non-cyclic noise components from the transformed image prior to inverse transforming. Removal of the cyclic noise from a borehole image tends to enable the identification of borehole features and provide for improved accuracy in formation parameter evaluation. Evaluation of the cyclic noise component may also enable the source of the noise to be identified and mitigated.