Law Office of Brian Wang, PLLC, Founding Member (2014)
Experience:
15 years
Specialties:
Immigration Law
Jurisdiction:
New York (2009)
Law School:
Beasley School of Law - Temple University
Education:
Beasley School of Law - Temple University, JD Columbia University, BA
Languages:
Chinese
Fees:
Credit Cards Accepted
Biography:
About Brian WangBrian M. Wang is the founding member of the Law Office of Brian Wang, PLLC. Brian began his legal career as an immigration attorney at Nationalities Service Center (NSC) in Philadelph...
Memberships:
Asian American Bar Association of New York (2011) New York State Bar Association (2011) American Immigration Lawyers Association (2009)
Social Links:
Brian Wang on Facebook Follow @BrianWangLaw on Twitter Brian Wang on LinkedIn Justia Profile
Houston Ear Nose & Throat ClinicHouston Ear Nose Throat & Allergy Clinic 1200 Mckinney St STE 415, Houston, TX 77010 (832)9009598 (phone), (713)7522037 (fax)
Education:
Medical School Wake Forest University School of Medicine Graduated: 2002
Procedures:
Myringotomy and Tympanotomy Rhinoplasty Allergen Immunotherapy Allergy Testing Hearing Evaluation Inner Ear Tests Sinus Surgery Skull/Facial Bone Fractures and Dislocations Sleep and EEG Testing Tonsillectomy or Adenoidectomy Tympanoplasty
Inhwan Yeo - Voorhees NJ, US Brian Wang - Merchantville NJ, US
Assignee:
University of Medicine and Dentistry of New Jersey - New Brunswick NJ
International Classification:
A61N 5/10
US Classification:
378 65
Abstract:
An accurate method for inversely verifying a therapeutic radiation dose delivered to a patient via an x-ray delivery system without involving any computational iteration was developed. The usage of it includes detecting the transmitted radiation dose image after passage through the patient, imaging the patient during treatment to anatomically record information of the patient, followed by inversely verifying through use of both the detected radiation image and the imaging data, the actual radiation dose delivered to the patient, and comparing the level of the dose delivered to a previously planned dose to determine whether the planned dose was delivered, or whether an overdose or underdose occurred.
Sarang Joshi - Salt Lake City UT, US Jacob Hinkle - Salt lake city UT, US Bill Salter - Salt lake City UT, US Tom Fletcher - Salt lake City UT, US Brian Wang - Salt lake City UT, US
Assignee:
University of Utah Research Foundation - Salt Lake City UT
International Classification:
G06K 9/00
US Classification:
382107
Abstract:
Systems and methods which implement an image reconstruction framework to incorporate complex motion of structure, such as complex deformation of an object or objects being imaged, in image reconstruction techniques are shown. For example, techniques are provided for tracking organ motion which uses raw time-stamped data provided by any of a number of imaging modalities and simultaneously reconstructs images and estimates deformations in anatomy. Operation according to embodiments reduces artifacts, increase the signal-to-noise ratio (SNR), and facilitates reduced image modality energy dosing to patients. The technology also facilitates the incorporation of physical properties of organ motion, such as the conservation of local tissue volume. This approach is accurate and robust against noise and irregular breathing for tracking organ motion.
Accurate Detection And Assessment Of Radiation Induced Lung Injury Based On A Computational Model And Computed Tomography Imaging
- Louisville KY, US Ahmed Soliman - Louisville KY, US Fahmi Khalifa - Louisville KY, US Ahmed Shaffie - Louisville KY, US Neal Dunlap - Louisville KY, US Brian Wang - Louisville KY, US
A system and computation method is disclosed that identifies radiation-induced lung injury after radiation therapy using 4D computed tomography (CT) scans. After deformable image registration, the method segments lung fields, extracts functional and textural features, and classifies lung tissues. The deformable registration locally aligns consecutive phases of the respiratory cycle using gradient descent minimization of the conventional dissimilarity metric. Then an adaptive shape prior, a first-order intensity model, and a second-order lung tissues homogeneity descriptor are integrated to segment the lung fields. In addition to common lung functionality features, such as ventilation and elasticity, specific regional textural features are estimated by modeling the segmented images as samples of a novel 7-order contrast-offset-invariant Markov-Gibbs random field (MGRF). Finally, a tissue classifier is applied to distinguish between the injured and normal lung tissues.
Name / Title
Company / Classification
Phones & Addresses
Brian Wang Assistant Professor Radiation Oncology Department
The University of Utah Research Facility
417 Wakerway, Salt Lake City, UT 84112
Brian Wang Assistant Professor Radiation Oncology Department
Utah Cancer Registry Research · College/University · Services-Misc College/University · Services-Misc · School/Educational Services · Theatrical Producers/Services College/University · Specialty Hospital College/University · Medical Doctor's Office College/University
546 Chipeta Way, Salt Lake City, UT 84108 135 S 1460 E, Salt Lake City, UT 84112 201 S 1460 E, Salt Lake City, UT 84112 1395 Presidents Cir, Salt Lake City, UT 84112 (801)5817198, (801)5816826, (801)5817676, (801)5853023
Googleplus
Brian Wang
Work:
Crowe Horwath LLP - Risk Consulting University of Illinois at Urbana-Champaign
All the artificial sweeteners that we use today were either discovered by accident or based on known sweet-tasting molecules, said study co-author Brian Wang, a research assistant in the Zuker lab.
Date: May 09, 2025
Category: Health
Source: Google
Chinese Giant Alibaba Is Ready to Become the Next Google
With great depth and breadth of visibility into consumer behavior, Alibaba will be able to assemble a highly detailed profile of its consumers which will allow it to become much smarter and sell far more, Forrester analyst Brian Wang writes.