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abder-rahman ali

Hi 👋 I’m Abder, a Research Fellow at Harvard Medical School/Massachusetts General Hospital, where I’m applying machine learning to medical ultrasound imaging @ Center for Ultrasound Research & Translation (CURT) lab.

News

  • Jan, 6 2024 The recording of the “Radiologist-in-the-loop AI” tutorial presented at MICCAI 2023 is now available, here!
  • Dec, 15 2023 Our abstract “Deep Learning Based Detection of Poor Probe Contact in Liver Ultrasound Images for Enhanced Shear Wave Elastography Acquisition” has been accepted in UltraCon2024!
  • Dec, 11 2023 Gave a lightning talk on our work “Self-Supervised Learning Meets Liver Ultrasound Imaging” at the NeurIPS North Africans in Machine Learning (NAML) workshop.
  • Oct, 30 2023 I have been invited to give a lightning talk on our work “Self-Supervised Learning Meets Liver Ultrasound Imaging” at the NeurIPS North Africans in Machine Learning (NAML) workshop.
  • Oct, 28 2023 Our paper “Self-Supervised Learning Meets Liver Ultrasound Imaging” has been accepted in the NeurIPS Self-Supervised Learning – Theory and Practice workshop.
  • Sep, 15 2023 I was happy to present some of our work on self-supervised learning in liver ultrasound imaging at the Cambridge Centre for AI in Medicine (CCAIM) AI and Machine Learning Summer School.
  • July, 17 2023 Our abstract “AI-SCD: A Deep Learning Approach for Skin-to-Liver Capsule Distance Measurement to Optimize Shear Wave Elastography Performance” has been accepted for an oral presentation @ RSNA2023!
  • June, 23 2023 You can now read our paper “Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images With Minimal Labeled Data” from, here.
  • June, 10 2023 You can now read our paper “Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement” from, here.
  • April, 10 2023 The “Radiologist-in-the-Loop AI” tutorial landing page is live: radiologistintheloop.ai!
  • April, 4 2023 Our paper “Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data” has been accepted in the CVPR2023 Deep Learning in Ultrasound Image Analysis Workshop!
  • April, 3 2023 Our paper “Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement” has been accepted at Canadian AI 2023
  • March, 14 2023 Our tutorial proposal “Radiologist-in-the-Loop AI” has been accepted at MICCAI2023!