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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.

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.

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/

NBC News Featured Research Work on Molecular Imaging and Targeted Biopsy

NBC News featured the research work by Dr. Baowei Fei and his team. The technology that was developed in his research lab is called molecular imaging directed, 3D ultrasound-guided biopsy, which improved upon 2D systems by allowing for earlier detection of potentially cancerous cells in the prostate. The new technology has been evaluated by an early phase clinical trial and the clinical finds were published Journal of Urology (Fei et al, Feasibility and Initial Results: Fluciclovine Positron Emission Tomography/Ultrasound Fusion Targeted Biopsy of Recurrent Prostate Cancer. Journal of Urology. 2019;202(2):413-421). For more information, read the PDF file of the clinical paper or visit the following website for the NBC news.
https://www.nbcdfw.com/news/local/researcher-finds-cancer-earlier-with-new-imaging-technology/9491/