Eight undergraduate students each published their first papers in 2020

Congratulate 8 undergraduate students who published their first papers on their undergraduate research works in the lab in 2020. These papers are listed below and are published and indexed by PubMed. They are the first author and their names are in bold.  For motivated undergraduate students who want to do research in the lab, please contact Dr. Baowei Fei (bfei@utdallas.edu).

1: James Huang, Halicek M, Shahedi M, Fei B. Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection. Proc SPIE Int Soc Opt Eng. 2020 Feb;11315:113150U. doi: 10.1117/12.2549041. Epub 2020 Mar 16. PMID: 32606488; PMCID: PMC7325483. https://pubmed.ncbi.nlm.nih.gov/32606488/

2: Patric Bettati, Chalian M, Huang J, Dormer JD, Shahedi M, Fei B. Augmented Reality-Assisted Biopsy of Soft Tissue Lesions. Proc SPIE Int Soc Opt Eng. 2020 Feb;11315:113150W. doi: 10.1117/12.2549381. Epub 2020 Mar 16. PMID: 32528216; PMCID: PMC7289183. https://pubmed.ncbi.nlm.nih.gov/32528216/

3: Matthew Pfefferle, Shahub S, Shahedi M, Gahan J, Johnson B, Le P, Vargas J, Judson BO, Alshara Y, Li Q, Fei B. Renal biopsy under augmented reality guidance. Proc SPIE Int Soc Opt Eng. 2020 Feb;11315:113152W. doi: 10.1117/12.2550593. Epub 2020 Mar 16. PMID: 32476704; PMCID: PMC7261605. https://pubmed.ncbi.nlm.nih.gov/32476704/

4: Jose Vargas, Le P, Shahedi M, Gahan J, Johnson B, Dormer JD, Shahub S, Pfefferle M, Judson BO, Alshara Y, Li Q, Fei B. A complex dual-modality kidney phantom for renal biopsy studies. Proc SPIE Int Soc Opt Eng. 2020 Feb;11319:113190J. doi: 10.1117/12.2549892. Epub 2020 Mar 16. PMID: 32476707; PMCID: PMC7261611. https://pubmed.ncbi.nlm.nih.gov/32476707/

5: Amol Mavuduru, Halicek M, Shahedi M, Little JV, Chen AY, Myers LL, Fei B. Using a 22-Layer U-Net to Perform Segmentation of Squamous Cell Carcinoma on Digitized Head and Neck Histological Images. Proc SPIE Int Soc Opt Eng. 2020 Feb;11320:113200C. doi: 10.1117/12.2549061. Epub 2020 Mar 16. PMID: 32476709; PMCID: PMC7261613. https://pubmed.ncbi.nlm.nih.gov/32476709/

6: Abhishaike Mahajan, Dormer J, Li Q, Chen D, Zhang Z, Fei B. Siamese neural networks for the classification of high-dimensional radiomic features. Proc SPIE Int Soc Opt Eng. 2020 Feb;11314:113143Q. doi: 10.1117/12.2549389. Epub 2020 Mar 16. PMID: 32528215; PMCID: PMC7288755.  https://pubmed.ncbi.nlm.nih.gov/32528215/

7: Ka’Toria Edwards, Chhabra A, Dormer J, Jones P, Boutin RD, Lenchik L, Fei B. Abdominal muscle segmentation from CT using a convolutional neural network. Proc SPIE Int Soc Opt Eng. 2020 Feb;11317:113170L. doi: 10.1117/12.2549406. Epub 2020 Feb 28. PMID: 32577045; PMCID: PMC7309562. https://pubmed.ncbi.nlm.nih.gov/32577045/

8: Chris Tran, Halicek M, Dormer JD, Tandon A, Hussain T, Fei B. Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Proc SPIE Int Soc Opt Eng. 2020 Feb;11317:113171M. doi: 10.1117/12.2549052. Epub 2020 Feb 28. PMID: 32476706; PMCID: PMC7261612. https://pubmed.ncbi.nlm.nih.gov/32476706/

PhD student published 12 first-author papers and 20 co-author papers

Congratulate Martin Halicek for his successful PhD defense in March 2020. During his PhD study, Martin published 12 first-author papers. By collaborating with other students and scientists in the lab, Martin also published 20 co-author papers. Since he joined the Quantitative Bioimaging Laboratory for his PhD study, Martin authored a total of 32 papers, all of which are indexed by PubMed. Thanks Martin for his contribution and best wishes for his career development in the future.

Undergraduate Student Selected as IEEE Regional Representative

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/

BME Undergraduate Student Won the Intuitive Best Student Paper Award at the International Conference of SPIE Medical Imaging

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 Student to receive IEEE Region Outstanding Student Member Award

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.

Exploring different imaging technologies for prostate cancer

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:
https://www.scitecheuropa.eu/exploring-different-imaging-technologies-for-prostate-cancer/98656
https://www.scitecheuropa.eu/scitech-europa-quarterly-issue-33/98760/

Researchers at UT Dallas advance fight to end cancer

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:
https://communityimpact.com/guides/dallas-fort-worth/richardson/news/education/2019/10/24/researchers-at-ut-dallas-advance-fight-to-end-cancer/

Novel Imaging Technique and AI Create Smart Microscope for Cancer Surgery

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:
https://www.docwirenews.com/docwire-pick/novel-imaging-technique-and-ai-create-smart-microscope-for-cancer-surgery/

Building a brighter way for capturing cancer during surgery

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:
https://www.eurekalert.org/pub_releases/2019-09/uota-bab093019.php

New CPRIT Grant to Develop Smart Surgical Microscope and Artificial Intelligence

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:
https://www.utdallas.edu/news/research/cancer-smart-surgical-microscope-fei-2019/