Dr. Abder-Rahman Ali

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

July, 21 2024 Our paper “Simple is More: Efficient Liver View Classification in Ultrasound Images Using Minimal Labeled Data and Simple Neural Network Architecture” has been accepted at the Data Engineering in Medical Imaging (DEMI) workshop @ MICCAI 2024!
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!