News
2024-08-28 16:31:02 - Dr. Baowei Fei received a CPRIT grant to develop twin augmented reality technologies for surgical applications
A digital twin (DT) is a virtual counterpart of a real patient with predictive and testing capability through realistic simulation, modeling, and visualization. A digital model of the real patient recapitulates the physical body of the patient and predicts the future outcome including tissue deformation via modeling the organs and physiology. Digital twin is a new concept in medicine, which allows virtual interactions with the body before real interventions and can thus improve surgical precision. The research grant from the Cancer Prevention and Research Institute of Texas (CPRIT) will allow the investigators to develop a digital twin augmented reality (DTAR) platform for the operating room (OR) of the future. A digital twin will be synchronized dynamically with the real patient via feedback mechanisms and will guide the surgeon to the next steps. The DTAR technology can provide a powerful tool for many surgical applications. [Learn more]
A digital twin (DT) is a virtual counterpart of a real patient with predictive and testing capability through realistic simulation, modeling, and visualization. A digital model of the real patient recapitulates the physical body of the patient and predicts the future outcome including tissue deformation via modeling the organs and physiology. Digital twin is a new concept in medicine, which allows virtual interactions with the body before real interventions and can thus improve surgical precision. The research grant from the Cancer Prevention and Research Institute of Texas (CPRIT) will allow the investigators to develop a digital twin augmented reality (DTAR) platform for the operating room (OR) of the future. A digital twin will be synchronized dynamically with the real patient via feedback mechanisms and will guide the surgeon to the next steps. The DTAR technology can provide a powerful tool for many surgical applications. [Learn more]
2024-04-01 16:43:17 - Dr. Baowei Fei received a five-year NIH R01 grant to develop novel imaging technologies for image-guided surgery
Faster recovery, reduced hospital stays, and a quicker return to normal activities are the most evident advantages of laparoscopic surgery. More than 13 million laparoscopic procedures are performed every year. Laparoscopic surgery has become the technique of choice for virtually every kind of abdominal surgery. Robot‐assisted laparoscopic radical prostatectomy is the most common surgical approach performed for prostate cancer. The NIH project will allow the investigators to develop an advanced hyperspectral imaging system for robotics assisted laparoscopic surgery. Hyperspectral imaging (HSI) provides not only high‐resolution spatial images but also spectral data at each pixel. Both spectral and spatial information can be used to identify various types of tissues including malignant tumors. The utilization of quantitative hyperspectral imaging for robot‐assisted laparoscopic surgery represents a major innovation in minimally invasive surgery with the aim of improving surgical outcomes. [Learn more]
Faster recovery, reduced hospital stays, and a quicker return to normal activities are the most evident advantages of laparoscopic surgery. More than 13 million laparoscopic procedures are performed every year. Laparoscopic surgery has become the technique of choice for virtually every kind of abdominal surgery. Robot‐assisted laparoscopic radical prostatectomy is the most common surgical approach performed for prostate cancer. The NIH project will allow the investigators to develop an advanced hyperspectral imaging system for robotics assisted laparoscopic surgery. Hyperspectral imaging (HSI) provides not only high‐resolution spatial images but also spectral data at each pixel. Both spectral and spatial information can be used to identify various types of tissues including malignant tumors. The utilization of quantitative hyperspectral imaging for robot‐assisted laparoscopic surgery represents a major innovation in minimally invasive surgery with the aim of improving surgical outcomes. [Learn more]
2024-03-29 16:44:03 - CPRIT Grants to Advance Cancer Detection, Treatment Technology
Dr. Baowei Fei received a $1 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to develop a handheld imaging tool for early detection of oral and oropharyngeal cancers. Dr. Fei and his group will develop a handheld imaging tool for early detection of oral and oropharyngeal cancers. Read more about the news: https://news.utdallas.edu/health-medicine/cprit-grants-2024/ [Learn more]
Dr. Baowei Fei received a $1 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to develop a handheld imaging tool for early detection of oral and oropharyngeal cancers. Dr. Fei and his group will develop a handheld imaging tool for early detection of oral and oropharyngeal cancers. Read more about the news: https://news.utdallas.edu/health-medicine/cprit-grants-2024/ [Learn more]
2024-01-26 16:54:38 - Dr. Baowei Fei delivered an invited talk at the Stanford Symposium on Optical Surgical Navigation at Stanford University
The Stanford Symposium on Optical Surgical Navigation gathered biomedical engineers, computer scientists, surgeons, and other clinicians to present and discuss the state-of-the-art optical imaging technologies and their clinical applications in surgical navigation. [Learn more]
The Stanford Symposium on Optical Surgical Navigation gathered biomedical engineers, computer scientists, surgeons, and other clinicians to present and discuss the state-of-the-art optical imaging technologies and their clinical applications in surgical navigation. [Learn more]
2023-07-17 16:55:30 - Dr. Baowei Fei delivered a keynote talk at the Interventional Biophotonics Symposium & Summer School at UC Davis
The National Center for Interventional Biophotonic Technologies (NCIBT) at UC Davis is funded by the NIBIB to develop new optical imaging technologies for surgical and interventional medical decision-making. Dr. Fei’s talk focused on AI analysis of medical data – quantitative methods in precision medicine: Hyperspectral imaging for cancer detection and image-guided surgery. [Learn more]
The National Center for Interventional Biophotonic Technologies (NCIBT) at UC Davis is funded by the NIBIB to develop new optical imaging technologies for surgical and interventional medical decision-making. Dr. Fei’s talk focused on AI analysis of medical data – quantitative methods in precision medicine: Hyperspectral imaging for cancer detection and image-guided surgery. [Learn more]
2022-12-01 19:26:55 - The Center for Imaging and Surgical Innovation held Open House at the Richardson IQ
The Center for Imaging and Surgical Innovation at the University of Texas at Dallas and UT Southwestern Medical Center had a successful open house at the Headquarters for the Richardson Innovation Quarter (IQ) on December 1, 2022. More than 200 faculty, students, and industry leaders attended the Richardson IQ Centers Open House. Thank UT Dallas Office of Research and Innovation and the City of Richardson for providing the facility and space at the Richardson IQ. [Learn more]
The Center for Imaging and Surgical Innovation at the University of Texas at Dallas and UT Southwestern Medical Center had a successful open house at the Headquarters for the Richardson Innovation Quarter (IQ) on December 1, 2022. More than 200 faculty, students, and industry leaders attended the Richardson IQ Centers Open House. Thank UT Dallas Office of Research and Innovation and the City of Richardson for providing the facility and space at the Richardson IQ. [Learn more]
2022-11-03 19:26:33 - Dr. Baowei Fei served as the Chair for the NIH Study Section – ZRG1 MOSS-V
Review activities of the NIH Center for Scientific Review (CSR) are organized into Review Branches (RBs). Each RB represents a cluster of study sections around a general scientific area. NIH grant applications generally are assigned first to an RB, and then to a specific study section within that RB for evaluation of scientific merit. An NIH study section consists of experts focused on a particular research field who are charged with reviewing NIH grant proposals. Special Emphasis Panels (SEPs) are held to review applications on special topics and members conflict applications. The NIH Center for Scientific Review invited Dr. Fei to chair the NIH Study Section Special Emphasis Panel ZRG1 MOSS-V – Member Conflict: Musculoskeletal Sciences in November 2022. [Learn more]
Review activities of the NIH Center for Scientific Review (CSR) are organized into Review Branches (RBs). Each RB represents a cluster of study sections around a general scientific area. NIH grant applications generally are assigned first to an RB, and then to a specific study section within that RB for evaluation of scientific merit. An NIH study section consists of experts focused on a particular research field who are charged with reviewing NIH grant proposals. Special Emphasis Panels (SEPs) are held to review applications on special topics and members conflict applications. The NIH Center for Scientific Review invited Dr. Fei to chair the NIH Study Section Special Emphasis Panel ZRG1 MOSS-V – Member Conflict: Musculoskeletal Sciences in November 2022. [Learn more]
2022-10-13 19:26:12 - Dr. Baowei Fei organized a Special Panel Session on Engineering Medicine at the BMES Meeting
At the Annual Meeting of the Biomedical Engineering Society (BMES), Dr. Baowei Fei organized a Special Panel Session entitled “A new era of engineering medicine - how to educate the next generation of biomedical engineers” and invited national leaders in the space of bioengineering and engineering medicine to discuss the emerging trend on how to educate and train our next generation of biomedical engineers, how to shape and advance the science and technology of bioengineering through innovative research and inspiring education, and how to engage faculty, researchers, and students to play leading roles from basic science discovery to the creation, clinical evolution, and commercialization of new technologies, devices and therapies to improve human health. In a new era of precision medicine, engineering and medicine are converging to solve complex biological and medical problems. Biomedical engineering and computing will be a leading force where quantitative methods of engineering and systems sciences will have a pivotal role in disease detection, diagnostics, and treatment. [Learn more]
At the Annual Meeting of the Biomedical Engineering Society (BMES), Dr. Baowei Fei organized a Special Panel Session entitled “A new era of engineering medicine - how to educate the next generation of biomedical engineers” and invited national leaders in the space of bioengineering and engineering medicine to discuss the emerging trend on how to educate and train our next generation of biomedical engineers, how to shape and advance the science and technology of bioengineering through innovative research and inspiring education, and how to engage faculty, researchers, and students to play leading roles from basic science discovery to the creation, clinical evolution, and commercialization of new technologies, devices and therapies to improve human health. In a new era of precision medicine, engineering and medicine are converging to solve complex biological and medical problems. Biomedical engineering and computing will be a leading force where quantitative methods of engineering and systems sciences will have a pivotal role in disease detection, diagnostics, and treatment. [Learn more]
2022-10-07 19:25:23 - Dr. Baowei Fei organized the Inaugural Workshop on Imaging and Data Science
The Workshop on Imaging and Data Science brought together the investigators at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas (UT Dallas) and built research collaborations between UT Dallas and UT Southwestern Medical Center (UTSW). The workshop brought engineers, computer scientists, surgeons, radiologists, and clinicians together with the goal of translating innovative imaging and surgical technologies from our engineering laboratories at UT Dallas to clinical settings at UT Southwestern for improving human health. More information can be found from the Workshop website (https://imaging.utdallas.edu/workshop/). Congratulations to all the winners of the poster awards: 1) Undergraduate Student Poster Award –- Sahil Chilukri from UT Southwestern; 2) Graduate Student Poster Award First Place – Milad Almasian from UT Dallas; 3) Graduate Student Poster Award Second Place –- Chanda Bhandari from UT Dallas; 4) Graduate Student Poster Award Third Place –- Xinyuan Zhang from UT Dallas; 5) Postdoctoral Associate Poster Award – Tianyuan Wang from UT Southwestern. [Learn more]
The Workshop on Imaging and Data Science brought together the investigators at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas (UT Dallas) and built research collaborations between UT Dallas and UT Southwestern Medical Center (UTSW). The workshop brought engineers, computer scientists, surgeons, radiologists, and clinicians together with the goal of translating innovative imaging and surgical technologies from our engineering laboratories at UT Dallas to clinical settings at UT Southwestern for improving human health. More information can be found from the Workshop website (https://imaging.utdallas.edu/workshop/). Congratulations to all the winners of the poster awards: 1) Undergraduate Student Poster Award –- Sahil Chilukri from UT Southwestern; 2) Graduate Student Poster Award First Place – Milad Almasian from UT Dallas; 3) Graduate Student Poster Award Second Place –- Chanda Bhandari from UT Dallas; 4) Graduate Student Poster Award Third Place –- Xinyuan Zhang from UT Dallas; 5) Postdoctoral Associate Poster Award – Tianyuan Wang from UT Southwestern. [Learn more]
2022-07-29 19:39:41 - Summer Undergraduate Student Received the Poster Award
The Summer Platform for Undergraduate Research (SPUR) is a unique, campus-wide symposium for students working on research at The University of Texas at Dallas. It is designed to be a “capstone” for student projects developed during the summer. The SPUR includes a number of on-going summer research programs at UTD, including the Clark Summer Research Program, the Bioengineering Undergraduate Research Scholars program, (NSF) Research Experiences for Undergraduates and others. Ofelia Azucena Gomez Chacon is an REU undergraduate student who worked in Dr. Baowei Fei’s research lab and won a Poster Award for her research work on hyperspectral imaging. [Learn more]
The Summer Platform for Undergraduate Research (SPUR) is a unique, campus-wide symposium for students working on research at The University of Texas at Dallas. It is designed to be a “capstone” for student projects developed during the summer. The SPUR includes a number of on-going summer research programs at UTD, including the Clark Summer Research Program, the Bioengineering Undergraduate Research Scholars program, (NSF) Research Experiences for Undergraduates and others. Ofelia Azucena Gomez Chacon is an REU undergraduate student who worked in Dr. Baowei Fei’s research lab and won a Poster Award for her research work on hyperspectral imaging. [Learn more]
2022-07-27 19:39:19 - Dr. Baowei Fei served as the Chair for the NIH Study Section – ZRG1 SBIB-C (03)
Review activities of the NIH Center for Scientific Review (CSR) are organized into Review Branches (RBs). Each RB represents a cluster of study sections around a general scientific area. NIH grant applications generally are assigned first to an RB, and then to a specific study section within that RB for evaluation of scientific merit. An NIH study section consists experts focused on a particular research field who are charged with reviewing NIH grant proposals. The NIH Center for Scientific Review invited Dr. Fei to chair the NIH Study Section Special Emphasis Panel ZRG1 SBIB-C (03) – Member Conflict: Medical Imaging Investigations in July 2022 [Learn more]
Review activities of the NIH Center for Scientific Review (CSR) are organized into Review Branches (RBs). Each RB represents a cluster of study sections around a general scientific area. NIH grant applications generally are assigned first to an RB, and then to a specific study section within that RB for evaluation of scientific merit. An NIH study section consists experts focused on a particular research field who are charged with reviewing NIH grant proposals. The NIH Center for Scientific Review invited Dr. Fei to chair the NIH Study Section Special Emphasis Panel ZRG1 SBIB-C (03) – Member Conflict: Medical Imaging Investigations in July 2022 [Learn more]
2022-07-06 19:37:34 - High School Students won the Science Education Award at the CAST-STEM Program
The CAST-STEM Program aims to create synergies in STEM education by providing high-school students hands-on study experience with current university professors at the University of Texas at Dallas for a consecutive 6 to 7 weeks. Four high school students, Riley Yuan, Eric Yi, Nancy Yan, and Rin Hayashi, conducted a research project under the direct supervision of Patric Bettati in Dr. Baowei Fei’s research laboratory. At the closing ceremony, the team won the Science Education Award for their project on augmented reality for medical applications. [Learn more]
The CAST-STEM Program aims to create synergies in STEM education by providing high-school students hands-on study experience with current university professors at the University of Texas at Dallas for a consecutive 6 to 7 weeks. Four high school students, Riley Yuan, Eric Yi, Nancy Yan, and Rin Hayashi, conducted a research project under the direct supervision of Patric Bettati in Dr. Baowei Fei’s research laboratory. At the closing ceremony, the team won the Science Education Award for their project on augmented reality for medical applications. [Learn more]
2022-07-06 19:24:57 - High School Students won the Science Education Award at the CAST-STEM Program
The CAST-STEM Program aims to create synergies in STEM education by providing high-school students hands-on study experience with current university professors at the University of Texas at Dallas for a consecutive 6 to 7 weeks. Four high school students, Riley Yuan, Eric Yi, Nancy Yan, and Rin Hayashi, conducted a research project under the direct supervision of Mr. Patric Bettati in Dr. Baowei Fei’s research laboratory. At the closing ceremony, the team won the Science Education Award for their project on augmented reality for medical applications. [Learn more]
The CAST-STEM Program aims to create synergies in STEM education by providing high-school students hands-on study experience with current university professors at the University of Texas at Dallas for a consecutive 6 to 7 weeks. Four high school students, Riley Yuan, Eric Yi, Nancy Yan, and Rin Hayashi, conducted a research project under the direct supervision of Mr. Patric Bettati in Dr. Baowei Fei’s research laboratory. At the closing ceremony, the team won the Science Education Award for their project on augmented reality for medical applications. [Learn more]
2022-07-04 19:36:44 - Dr. Baowei Fei delivered a keynote talk at the International Association for Spectral Imaging (IASIM) Biannual Conference in Denmark.
The objective of the International Association for Spectral Imaging (IASIM) is to provide a unified open and interactive forum for the exchange of information and ideas within the general spectral imaging community, regardless of the image spectral range (ultraviolet, visible, near, mid, or far infrared, or mass spectrometry) or spatial range (microscopic, macroscopic, remote sensing). The biannual conference brought together speakers, contributors, attendees and exhibitors from areas covering all aspects of spectral imaging (microscopic, macroscopic, remote sensing) and a large variety of spectroscopic techniques. Dr. Fei was invited to give a keynote talk on medical hyperspectral imaging at the international conference. [Learn more]
The objective of the International Association for Spectral Imaging (IASIM) is to provide a unified open and interactive forum for the exchange of information and ideas within the general spectral imaging community, regardless of the image spectral range (ultraviolet, visible, near, mid, or far infrared, or mass spectrometry) or spatial range (microscopic, macroscopic, remote sensing). The biannual conference brought together speakers, contributors, attendees and exhibitors from areas covering all aspects of spectral imaging (microscopic, macroscopic, remote sensing) and a large variety of spectroscopic techniques. Dr. Fei was invited to give a keynote talk on medical hyperspectral imaging at the international conference. [Learn more]
2022-05-07 19:22:58 - Undergraduate Student Received the SPIE Optics and Photonics Education Scholarship
International Society for Optics and Photonics (SPIE) Optics and Photonics Education Scholarships are to support outstanding students located anywhere in the world, in high school (pre-university/secondary), community and technical, undergraduate and graduate programs, who are studying in a related field of optics and photonics. Armand Paul Rathgeb from Dr. Baowei Fei’s lab received the 2022 SPIE Optics and Photonics Education Scholarship in the amount of $3,000 to study optical imaging technologies. [Learn more]
International Society for Optics and Photonics (SPIE) Optics and Photonics Education Scholarships are to support outstanding students located anywhere in the world, in high school (pre-university/secondary), community and technical, undergraduate and graduate programs, who are studying in a related field of optics and photonics. Armand Paul Rathgeb from Dr. Baowei Fei’s lab received the 2022 SPIE Optics and Photonics Education Scholarship in the amount of $3,000 to study optical imaging technologies. [Learn more]
2022-05-01 21:40:06 - Dr. Baowei Fei was nominated for the 2022 Provost’s Award for Faculty Excellence in Undergraduate Research Mentoring at the University of Texas at Dallas
In appreciation of the exceptionally dedicated efforts of the UT Dallas faculty, the Office of Undergraduate Education and the Office of the Provost annually recognize an outstanding UT Dallas faculty member who excels in his/her undergraduate research mentoring efforts. The Provost’s Award for Faculty Excellence in Undergraduate Research Mentoring seeks to formally acknowledge a faculty mentor who demonstrates superior leadership, support, and guidance towards the development of UT Dallas undergraduate students and their research endeavors. Dr. Baowei Fei is among the nine faculty members who were nominated for the 2022 Provost’s Award for Faculty Excellence in Undergraduate Research Mentoring at the University of Texas at Dallas. [Learn more]
In appreciation of the exceptionally dedicated efforts of the UT Dallas faculty, the Office of Undergraduate Education and the Office of the Provost annually recognize an outstanding UT Dallas faculty member who excels in his/her undergraduate research mentoring efforts. The Provost’s Award for Faculty Excellence in Undergraduate Research Mentoring seeks to formally acknowledge a faculty mentor who demonstrates superior leadership, support, and guidance towards the development of UT Dallas undergraduate students and their research endeavors. Dr. Baowei Fei is among the nine faculty members who were nominated for the 2022 Provost’s Award for Faculty Excellence in Undergraduate Research Mentoring at the University of Texas at Dallas. [Learn more]
2022-04-01 21:33:48 - Dr. Baowei Fei is recognized by the Jonsson School of Engineering and Computer Science and received the 2022 Faculty Award for exceptional research contributions.
The Faculty Research Awards recognize three Jonsson School faculty members (one assistant professor, one associate professor, and one full professor) for their outstanding research contributions and are given annually at the Recognition and Appreciation Banquet. Dr. Baowei Fei received the Faculty Research Award at the full professor level, which honors one senior faculty member of the Jonsson School of Engineering and Computer Science at the University of Texas at Dallas, who has produced exceptional research. [Learn more]
The Faculty Research Awards recognize three Jonsson School faculty members (one assistant professor, one associate professor, and one full professor) for their outstanding research contributions and are given annually at the Recognition and Appreciation Banquet. Dr. Baowei Fei received the Faculty Research Award at the full professor level, which honors one senior faculty member of the Jonsson School of Engineering and Computer Science at the University of Texas at Dallas, who has produced exceptional research. [Learn more]
2022-03-05 20:02:01 - Dr. Baowei Fei served as the Chair for the NIH Study Section – P41 NIBIB Review F-SEP
Dr. Fei chaired the NIH Study Section Panel (ZEB1 OSR-F M2) for the National Institute of Biomedical Imaging and Bioengineering (NIBIB). The NIH Panel consisted of experts and leaders in the field of biomedical imaging and provided the scientific review for the NIBIB Center Grant applications. [Learn more]
Dr. Fei chaired the NIH Study Section Panel (ZEB1 OSR-F M2) for the National Institute of Biomedical Imaging and Bioengineering (NIBIB). The NIH Panel consisted of experts and leaders in the field of biomedical imaging and provided the scientific review for the NIBIB Center Grant applications. [Learn more]
2022-02-01 21:42:36 - Undergraduate Student, Ted Shi, won the 2022 Jonsson School Undergraduate Experience Research Award at the University of Texas at Dallas
The Undergraduate Research Awards at the Erik Jonsson School of Engineering and Computer Science offer engineering majors financial support to work with a top Jonsson School faculty member on relevant research projects. The $500 awards give students the opportunity to build practical experience that opens doors for graduate school, internships, and careers. Ted Shi, an undergraduate student from Dr. Baowei Fei’s lab, won the 2022 Jonsson School Undergraduate Experience Research Award. [Learn more]
The Undergraduate Research Awards at the Erik Jonsson School of Engineering and Computer Science offer engineering majors financial support to work with a top Jonsson School faculty member on relevant research projects. The $500 awards give students the opportunity to build practical experience that opens doors for graduate school, internships, and careers. Ted Shi, an undergraduate student from Dr. Baowei Fei’s lab, won the 2022 Jonsson School Undergraduate Experience Research Award. [Learn more]
2022-02-01 21:40:54 - Undergraduate Student, Jeff Young, won the 2022 Undergraduate Research Scholar Award (URSA) from the Office of Undergraduate Education at the University of Texas at Dallas
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. Jeff Young, an undergraduate student from Dr. Baowei Fei’s lab, won the 2022 Undergraduate Research Scholar Award. [Learn more]
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. Jeff Young, an undergraduate student from Dr. Baowei Fei’s lab, won the 2022 Undergraduate Research Scholar Award. [Learn more]
2021-02-01 21:43:13 - Undergraduate Students, Patric Bettati and Ted Shi, won the 2021 Undergraduate Research Scholar Award (URSA) from the Office of Undergraduate Education at the University of Texas at Dallas
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. Two undergraduate students, Patric Bettati and Ted Shi, from Dr. Baowei Fei’s lab, won the 2021 Undergraduate Research Scholar Award. [Learn more]
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. Two undergraduate students, Patric Bettati and Ted Shi, from Dr. Baowei Fei’s lab, won the 2021 Undergraduate Research Scholar Award. [Learn more]
2020-11-16 21:44:14 - PhD Dissertation won the 2020 PhD Thesis Award from the Editor-in-Chief of MDPI Sensors
The PhD Thesis Award is organized annually by the Editor-in-Chief of MDPI Sensors. One outstanding PhD thesis is selected as the winner from the applications worldwide. Dr. Martin Halicek, a PhD student from Dr. Baowei Fei’s lab, won the 2020 PhD Thesis Award. The title of his thesis is “Development of deep learning methods for head and cancer detection in hyperspectral imaging and digital pathology for surgical guidance”. [Learn more]
The PhD Thesis Award is organized annually by the Editor-in-Chief of MDPI Sensors. One outstanding PhD thesis is selected as the winner from the applications worldwide. Dr. Martin Halicek, a PhD student from Dr. Baowei Fei’s lab, won the 2020 PhD Thesis Award. The title of his thesis is “Development of deep learning methods for head and cancer detection in hyperspectral imaging and digital pathology for surgical guidance”. [Learn more]
2020-11-01 21:45:10 - Dr. Baowei Fei is recognized by the Office of Research and Innovation at the University of Texas at Dallas and received the 2020 Federal Research Innovation and Expenditures Dynamo (FRIEND) Award.
Federal Research Innovation and ExpeNditures Dynamo (FRIENDs) of the Office of Research and Innovation are recognized based on achieving a cumulative level of federal research expenditures (CLFRE) in excess of $500,000 as either PI or co-PI for fiscal year 2020. Dr. Baowei Fei was a recipient of the 2020 FRIEND Award that was signed by Dr. Joseph Pancrazio, the Vice President for Research, and Dr. Richard Benson, President of the University of Texas at Dallas. [Learn more]
Federal Research Innovation and ExpeNditures Dynamo (FRIENDs) of the Office of Research and Innovation are recognized based on achieving a cumulative level of federal research expenditures (CLFRE) in excess of $500,000 as either PI or co-PI for fiscal year 2020. Dr. Baowei Fei was a recipient of the 2020 FRIEND Award that was signed by Dr. Joseph Pancrazio, the Vice President for Research, and Dr. Richard Benson, President of the University of Texas at Dallas. [Learn more]
2020-10-28 19:01:41 - Eight undergraduate students published their first papers
Congratulate eight 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/ [Learn more]
Congratulate eight 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/ [Learn more]
2020-09-01 18:40:03 - 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. [Learn more]
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. [Learn more]
2020-08-01 21:45:50 - Research paper was recognized as the Editor’s Choice Article from the MDPI Sensors
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. [Learn more]
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. [Learn more]
2020-04-14 23:19:34 - 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/ [Learn more]
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/ [Learn more]
2020-02-18 05:45:47 - 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. [Learn more]
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. [Learn more]
2020-02-04 19:02:44 - 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. [Learn more]
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. [Learn more]
2020-02-01 21:46:25 - Undergraduate Students, Ka’Toria Edwards, Patric Bettati, and MD Fiaz Islam Bhuiyan, won the 2020 Undergraduate Research Scholar Award (URSA) from the Office of Undergraduate Education at the University of Texas at Dallas
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. [Learn more]
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. [Learn more]