We’re thrilled to share that Dr. Salmanpourpaeenafrakati’s research has been accepted to IEEE Access. Please join us in congratulating Dr. Salmanpourpaeenafrakati on this significant accomplishment! PDF
New work from our own Yasamin Medghalchi and Moein Heidari has been accepted to the 2025 CVPR conference. Prepint
Collaborative work, Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks, has been accepted to the 2025 ICASSP conference. Congratulations to our own Moein Heidari and co-authors Ali Mehrabian and Parsa Mojarad on this fantastic achievement! PREPRINT
Our collaborative work with Rutgers University has been accepted to the prestigious 2025 SPIE Medical Imaging Conference! Congratulations to our very own Moein Heidari for leading this effort.
To access the work: https://rdcu.be/d0Ah6
By Rohit Singla (Lead Author): We often talk about the importance of teaching doctors about AI, but in our study, we take it a step further—we break down what they should be taught in medical education.
Using the Delphi method, we developed a Canadian AI Medical Curriculum, identifying essential competencies in AI ethics, application, law, collaboration, communication, and quality improvement. Our expert panel of 18 health and AI leaders across Canada guided this framework to address both clinical needs and educational priorities.
This curriculum doesn’t just advocate for AI literacy—it delivers a structured, consensus-driven approach to help future doctors master the skills and knowledge needed to effectively use AI tools in their practice.
It’s about bridging the gap between theoretical AI advancements and practical clinical implementation.
Thrilled to share our new review article on ultrasound-guided needle localization! This project stands out due to the fantastic collaboration between our lead author, Alvin Bagetuuma Kimbowa, and an incredible group of undergraduate students (Alex Pieters, Parsa Tadayon, Ishi Arora, Sabrina Gulam, Antonio Pinos) from the Engineers in Scrubs program at School of Biomedical Engineering at UBC under the leadership of our clinical PI Prof. David Liu.
We are thrilled to announce that our collaborative work has been accepted to the 2024 BMVC! Congratulations to our lab member Moein Heidari for his significant contributions to this outstanding achievement. CODE
We have amazing news! Dr. Salmanpourpaeenafrakati’s work has been accepted to 2024 MICCAI conference ASMUS workshop. Huge congratulaitons to Mohammad. Preprint
Ocotber 2023: Pooia has presented his research at the UBC-SBME Research day.
October 2023: Hanna received third place best poster award at the 2023 UBC Radiology Research Day for he work titled ‘Impact of de-identification of demographic features in chest x-rays on AI method accuracy’. We are very proud.
May, 2023: Mwikirize C, Nosher JL, Hacihaliloglu I, inventors; Rutgers State University of New Jersey, assignee. Computer vision systems and methods for real-time needle detection, enhancement and localization in ultrasound. United States patent US 11,638,569. 2023 May 2.
March, 2023: Our new work is now published in the MELBA – Machine Learning for Biomedical Imaging journal. We also show that we can extend the method to lung ultrasound data.
A new review paper is accepted. We are proud to be part of this great collaborative work. 3-11-2023
November 2022 – Computer Vision Systems and Methods for Real-Time Localization of Needles In Ultrasound Images. United States Patent No. 11,426,142.
November 2022 – Deep learning-based endometriosis diagnosis from ultrasound data. Our joint effort with Rutgers Robert Wood Johnson Medical School has been accepted for oral presentation at the 2023 SPIE Medical Imaging Conference which will be held in San Diego, California, United States,19 – 23 February 2023. One step closer to our ultimate goal of early detection.
Our work on self-supervised learning for #COVID19 detection from chest X-ray images is accepted to the 2022 MICCAI Society workshop on Medical Image Learning with Noisy and Limited Data. Preprint and code: https://arxiv.org/abs/2208.01843
IEEE TUFFC Spotlight Issue on Interventional Ultrasound
Together with Profs Hassan Rivaz (Concordia University), and Ingerid Reinertsen (Sintef) Dr. H is guest editing IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control Spotlight Issue entitled “Interventional Ultrasound”.
June 2022 – Dr. H. presented CIID research work at the 2022 CAOS conference which was held as a hybrid conference in Brest, France.
June 2022 – Collaborative work between CIID and Vision and Image Understanding Lab (Prof. Vishal Patel, ECE, JHU) has been accepted to the 2022 MICCAI conference.
March 2022 – Dr. H. was one of the invited speakers for the MICCAI-AI-ready Healthcare podcast series organized by Dr. Anirban Mukhopadhyay. Listen here
May 2022 – Collaborative work between CCID and the Athletic Injury and Rehabilitation (AIR) Lab Department of Kinesiology at Michigan State University (Prof. Matthew Harkey) has been accepted to the cartilage journal.
April 2022 – A new patent has been awarded to Dr. H and his collaborators. LINK