The research on hyperspectral imaging and image guided surgery was recoconized by the editor of MDPI Sensors as the Editor’s Choice Article. The full citation of the paper is listed as: Fabelo, H.; Halicek, M.; Ortega, S.; Shahedi, M.; Szolna, A.; Piñeiro, J.F.; Sosa, C.; O’Shanahan, A.J.; Bisshopp, S.; Espino, C.; Márquez, M.; Hernández, M.; Carrera, D.; Morera, J.; Callico, G.M.; Sarmiento, R.; Fei, B. Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors 2019, 19, 920. https://doi.org/10.3390/s19040920.
MD Fiaz Islam Bhuiyan has been appointed the role of Regional Student Representative for IEEE Region 5 that encompasses 12 Southwestern States: CO, KS, MO, OK, AR, TX, LA, and parts of IL, WY, ND, SD, and NM. At the beginning of February, Fiaz had the honor to represent IEEE Region 5 at the 2020 IEEE global Student Activities Committee (SAC) meeting in Portland, Oregon. He gave voice to the needs of over 90 Student Branches in Region-5 and planned to organize events and competitions to engage the student branches in technical and leadership pursuits. Fiaz also worked with IEEE global SAC in creating a framework and opportunities for student engagement at the global scale through competitions like the IEEEXtreme programming contest and Virtual Speakers program. For more details about IEEE student activities visit: https://students.ieee.org/committee/
Undergraduate Student, Matthew Pfefferle and co-authors from Dr. Baowei Fei’s Lab in the Department of Bioengineering at the University of Texas at Dallas won the Intuitive Best Student Paper Award at the International Conference of SPIE Medical Imaging, which is held in Houston, Texas on February 16-20, 2020. The SPIE Medical Imaging Conference is the internationally recognized premier forum for reporting state-of-the-art research and development in medical imaging. The title of the paper is “Renal biopsy under augmented reality guidance” by Matthew Pfefferle, Sarah Shahub, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake O. Judson, Yasmeen Alshara, Qinmei Li, and Baowei Fei. This is a collaborative project between UT Dallas and UT Southwestern Medical Center.
Undergraduate research assistant, MD Fiaz Islam Bhuiyan has been selected to receive the IEEE Region 5 Outstanding Student Member Award for his exceptional contributions of time and effort to the Student Branch, the Section, the Region, and the National IEEE to advance the principals of IEEE. Fiaz has demonstrated a high caliber not only through his contributions to the community but also in maintaining a strong academic standing and dedicated research work.
The Undergraduate Research Scholar Awards are a one-time competitive award made by the Office of Undergraduate Education at the University of Texas at Dallas, designed to reward the contributions and facilitate the professional development of undergraduate researchers at the University of Texas at Dallas. Students selected to receive an Undergraduate Research Scholar Award receive $500 and the certificate, awarded upon participation in the Undergraduate Research Scholar Award poster competition held in mid-April. Three undergraduate students, Ka’Toria Edwards, Patric Bettati, and MD Fiaz Islam Bhuiyan, from Dr. Baowei Fei’s lab, won the 2020 Undergraduate Research Scholar Award.
Dr. Baowei Fei’s research on prostate cancer imaging has been featured by SciTech Europa Quarterly that provides opportunities to leading figures from across Europe to discuss current and future projects, policy change and future priorities within research and development, as well as being a platform for others to voice their opinions and showcase their results to Europe’s research community. For more information, read the PDF file of the article or visit the following websites:
Community Impact Newspaper reported the cancer research work that were conducted at the University of Texas at Dallas. Community Impact Newspaper is vested in the communities and has dedicated reporters in each community who attend city council and school board meetings. Community Impact Newspaper distributes hyperlocal news and information to millions of local residents and business owners each day online and monthly by mail. For more information, read the article from the following website:
Dr. Baowei Fei and his group have recently used a unique imaging technology and artificial intelligence (AI) to predict the presence of cancer cells in tissue samples. This hyperspectral imaging technique is effective in satellite imagery and orbiting telescopes. It could be used to quickly identify cancer cells in the operating room as well. Analyzing 293 tissue samples from 102 head and neck cancer surgery patients, Fei and colleagues found that hyperspectral imaging and AI could be used to predict cancer cell presence with 80-90% accuracy. Dr. Fei recently received a $1.6 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to continue improving this smart surgical microscope. Once this approach is fully developed, it would need to be tested in clinical studies before being used in the live healthcare environment. For more information, visit the following website:
The research work by Dr. Baowei Fei’s Lab has been featured by AAAS and EurekAlert!. In a study published in the Sept. 14 edition of the journal Cancers, Dr. Fei and colleagues showed that hyperspectral imaging and artificial intelligence could predict the presence of cancer cells with 80% to 90% accuracy in 293 tissue specimens from 102 head and neck cancer surgery patients. Dr. Fei recently received a $1.6 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to further develop the technology, called a smart surgical microscope. For more information, visit the following website:
Dr. Baowei Fei, the Cecil H. and Ida Green Chair in Systems Biology Science at UT Dallas, is developing a smart surgical microscope that uses hyperspectral imaging and artificial intelligence to detect cancer cells during surgery. He recently received a $1.6 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to further develop the technology. Hyperspectral imaging, originally used in satellite imagery, orbiting telescopes and other applications, goes beyond what the human eye can see as cells are examined under ultraviolet and near-infrared lights at micrometer resolution. By analyzing how cells reflect and absorb light across the electromagnetic spectrum, experts can get a spectral image of cells that is as unique as a fingerprint. For more information, visit the following website: