Press and Updates

January 25th, 2022: Excited to give an invited talk at DKFZ Data Science Series on our recent work, Large Language Models Encode Clinical Knowledge.
January 10th, 2022: Our work Large Language Models Encode Clinical Knowledge has been ranked as top 5% of all research papers (5% of over 22 Millions research output) that have been ever scored by Altmetric.
December 26th, 2022: Thrilled to announce that our work on Encoding Clinical Knowledge Using Large Language Models is now online.
Nov 14th, 2022: Our work on Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC) is now online.
July 1st, 2021: Delighted to announce that I have been selected as the program chair of IPCAI'22 and I will be co-organizing the conference in Tokyo, Japan.
May 19th, 2022: Our work on Robust and Efficient Medical Imaging using Self-Supervision is now online.
July 1st, 2021: Delighted to announce that I have been selected as the program chair of IPCAI'22 and I will be co-organizing the conference in Tokyo, Japan.
July 22nd, 2021: Our paper “Big Self-Supervised Models Advance Medical Image Classification” has been accepted for presentation to the international Conference on Computer Vision (ICCV), which will be held Octover 11th-17th, 2021. [ArXiv] [Oral-Short]
June 17th, 2020: We have our CVPR oral presentation for the paper “Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting”. [ArXiv] [Oral-Short] [Code]
March 23rd, 2020: It is official! I started my new role at Google AI Research.
February 23rd, 2020: Our paper “Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting” has been accepted for oral presentation to the international Conference on Computer Vision and Pattern Recognition (CVPR), which will be held June 13th-19th, 2020 in Seathle, Washingtone. [ArXiv] [Oral-Short] [Code]
December 8th, 2019: I will be attending NeurIPS 2019 from December 8th - 14th in Vancouver, Canada.
July 14th, 2019: I will be attending IJCNN 2019 from July 14th - 19th in Budapest, Hungary. The conference is organized by the International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society.
May 29th, 2019: Today I walked on the stage of Chan Centre, for the second time, to recieve the Governor General’s of Canada Gold medal for my PhD research. President Santa read my citation during the award presentation and I received the medal on stage from Chancellor Lindsay Gordon. Read more here and here. I am the first applied science and also ECE affiliated recipient of the award since 2007.
April 15th, 2019: Very honored and humbled to be the recipient of the Governor General’s Gold Medal. The medal will be present on May convocation ceremony at UBC.
March 1st, 2019: Our paper “Deep Neural Maps for Unsupervised Visualization of High Grade Cancer in Prostate Biopsies” has been accepted to the 9th international conference on Information Processing in Computer-Assisted Interventions (IPCAI), which will be held June 18-19, 2019 in Rennes, France.
February 24th, 2019: Our paper “A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations” has been accepted to the international Conference on Computer Vision and Pattern Recognition (CVPR), which will be held June 16th-20th, 2019 in Long beach, California.
November 26th, 2018: I will be attending NeurIPS 2018 from December 2nd - 8th in Montreal, Canada.
September 13th, 2018: I will be attending MICCAI 2018 (possibly my last MICCAI for a while!) from September 15th-20th in Granada, Spain. I am organizing a few events and activity with Student Board similar to the previous years. I also will be presenting my work on Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy.
July 16th, 2018: TeUS finally got the 1 million CIHR award! Wait for this for 4 years, too late though! More details on CIHR website.
July 4th, 2018: I am giving a talk at Computer Science Department of University of Victoria, on Advancement and trends in medical image analysis using deep learning. Link
June 28th, 2018: I officialy graduated from UBC.
June 20th, 2018: Our paper, Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound, is accepted to Transaction of Medical Imaging (TMI).
June 15th, 2018: I successfully defended my Ph.D. thesis!
June 8th, 2018: I invited to be the guest of a podcast on AI in Photography! My most favourites topics in the world! You can listen from iTunes or OverCast
May 25th, 2018: Our paper, Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy, is accepted to MICCAI 2018, Granada, Spain.
April 7th, 2018: I have successfully passed my Internal Ph.D. exam.
March 9th, 2018: I officially started to write my Ph.D. dissertation, extactly in the Stanford dinning hall, in a rainy blue day!
February 15th, 2018: I got the runner-up Siemense Young Scientist Award at SPIE’18, Houston, USA for pioneering research of our amazing team in printing of the Ultrasound Phantoms with alive cancer cells. It was so sad that I could not be there due to visa issues.
January 10th, 2018: I started to write my last MICCAI paper!
September 14th, 2017: I was honored to win the prestigious best paper award at MICCAI 2017.