7/30/2025 – LAIR Lab member (or rather, recent alumnus) Xin Tie gave an oral presentation at the AAPM 2025 annual meeting in Washington DC on “Multi-modality Artificial Intelligence for Involved-Site Radiation Therapy: Clinical Target Volume Delineation in Pediatric Hodgkin Lymphoma.”
6/23/2025 – LAIR Lab member Sam Church gave an oral presentation at the SNMMI 2025 annual conference on “Vision-language modeling in PET/CT for visual grounding of positive findings PET/CT.”
6/10/2025 – Xin Tie (now Dr. Xin Tie, PhD!) successfully defended his dissertation, Artificial Intelligence in Lymphoma Imaging: Incorporating Longitudinal Awareness. Congratulations Xin, and best of luck at U Penn!
6/9/2025 – Congrats to Xin Tie for being awarded the Student Research Grants Competition!
05/22/2025 – Dr. Bradshaw presented at the Society of Imaging Informatics in Medicine (SIIM) annual meeting on multimodal foundation models and on theranostics informatics, the latter of which was covered in an article by AuntMinnie.
02/25/2025 – Zach Huemann successfully defended his dissertation, . Congratulations Dr. Huemann! And thank you for all of your contributions to the lab over the years. Best of luck in your new career!
01/01/2025 – The LAIR lab, together with collaborators Marina Emborg and Karla Ausderau, received a 1-year grant from the University of Wisconsin through the Fall Research Competition to study the use of artificial intelligence to identify behaviors in videos of non-human primates.
12/01/2024 – The LAIR lab, together with collaborator Ran Zhang’s lab, received a grant from Flywheel Inc. to develop advanced data retrieval tools within the Flywheel platform using large language models and large multimodal models.
10/22/2024 – LAIR Lab member Zach Huemann gave an oral presentation at the CMIMI 2024 annual conference on “ConTEXTual Net 3D: Visual Grounding in PET/CT for Enhanced Interactive Reporting.”
10/17/2024 – LAIR Lab member Xin Tie led a team that competed in the HNTS-MRG 2024 challenge sponsored by MICCAI — and won 1st place! The challenge focused on segmenting radiotherapy target volumes while accounting for longitudinal changes.
7/22/2024 – LAIR Lab member Xin Tie won the Standard Imaging Travel Award for AAPM 2024.
7/21/2024 – LAIR Lab member Xin Tie gave an oral presentation at the American Association of Physicists in Medicine (AAPM) in Los Angeles, CA on “Multi-Task Learning for Longitudinal PET Quantification in Pediatric Hodkin Lymphoma”.
6/10/2024 – LAIR Lab member Xin Tie gave an oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) in Toronto, Canada on “A Longitudinally-Aware Segmentation Network for Automatic Interim PET Analysis in Pediatric Hodgkin Lymphoma Patients”.
6/9/2024 – Tyler Bradshaw was interviewed by AuntMinnie.com about applications of large language models in nuclear medicine: https://t.co/WbKtol8DwS
4/4/2024 – Collaborator Michael Bartley gave an oral presentation at AUR in Boston, MA on our joint research study, “Resident and Medical Student Education: Utilizing a Large Language Model for Teaching Case Curation and Radiology Report Discrepancy Analysis”
2/13/2024 – Tyler Bradshaw delivered the Medical Physics Grand Rounds lecture at MSKCC, titled “Vision, Language, and Vision-Language Modeling in Radiology.”
12/1/2023 – The LAIR Lab has been awarded a 4-year R01 award from the National Institute of Biomedical Imaging and Bioengineering to study the use of multimodal vision-language modeling for enhanced PET/CT image analysis.
11/30/2023 – LAIR Lab member Xin Tie gave an oral presentation at RSNA in Chicago, IL on “Adapting Large Language Models for Personalized Impression Generation in PET Reports: Expert Evaluation.”
11/8/2023 – Tyler Bradshaw teamed up with colleagues from UBC and MGH to teach a full-day course on artificial intelligence at the IEEE MIC/NSS conference in Vancouver, BC.
10/1/2023 – LAIR Lab members Zach Huemann and Xin Tie gave oral presentations at the CMIMI conference in Baltimore, MD.
8/28/2023 – The LAIR Lab has received a grant from Flywheel Inc. to develop and evaluate large language modeling applications within the Flywheel platform.