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.