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DTSTART;TZID=Europe/London:20260629T140000
DTEND;TZID=Europe/London:20260629T150000
DTSTAMP:20260826T211042
CREATED:20260619T105137Z
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SUMMARY:TIA Centre Seminar Series – Pathology Foundation Models for Text-prompted Segmentation and Precision Oncology
DESCRIPTION:0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Dr Junlin Hou from The Hong Kong University of Science and Technology\, Hong Kong. \nAbstract\nComputational pathology is rapidly moving from task-specific image analysis toward foundation models that enable scalable\, generalizable disease diagnosis and clinical decision support. In this talk\, I will first present our recent work\, PathSegmentor\, a foundation model that enables flexible\, text-prompted segmentation across diverse pathological entities. Beyond segmentation\, I will also provide an overview of our broader efforts in pathology foundation models\, including image enhancement\, whole-slide representation learning\, benchmarking\, and agentic AI systems. These works aim to advance computational pathology toward more precise\, interpretable\, and clinically useful AI for precision oncology. \nRegister NowBio\nDr. Junlin Hou is a Post-doctoral Fellow in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). She obtained her Ph.D. from the School of Computer Science at Fudan University in 2023. She has published 30+ papers in top-tiered journals and conferences\, including Nature Computational Science\, Nature Biomedical Engineering\, IEEE TMI\, MICCAI\, CVPR\, etc. She has served as a guest editor for CMIG and J. Imaging\, and as a reviewer for 15+ journals and conferences. She also led the team winning 10+ medical grand challenges. Her current research interest is in trustworthy medical AI and computational pathology.
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-pathology-foundation-models-for-text-prompted-segmentation-and-precision-oncology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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DTSTAMP:20260826T211042
CREATED:20260612T080745Z
LAST-MODIFIED:20260612T080745Z
UID:100122112-1782745200-1782748800@www.pathologynews.com
SUMMARY:Pathologist and AI: A Collaboration in Practice
DESCRIPTION:0000Days00Hrs00Min00SecThis webinar will begin at 4:00 pm CEST\, 5:00 pm EEST\, 10:00 am EDT\, 3:00 pm BST \nEven the most accurate AI models only fulfill their full potential when they fit seamlessly into a pathologist’s daily practice. That’s why we explore the collaboration of the pathologist and the AI in the upcoming webinar. The conversation around AI in pathology fixates on the algorithm — but the real difference is made in how the pathologist and the AI work together. \nDuring this session\, Pathologist and Aiforia’s Medical Director\, Richard Doughty\, will discuss: \n\nBetter together: why the AI–pathologist collaboration matters more than the AI itself\nAI and pathologists\, side by side — see how it’s done\nReal labs\, real results — how AI is being used today\, with practical examples from real-world sites\nA live case\, worked in real time\n\nThis webinar will give a clear\, practical view of what good AI–pathologist collaboration actually looks like. \nRegister NowSpeakers\n\nRichard Doughty\, DVM\, MD\, MSc\, Medical Director\, Aiforia Technologies \n\n\n\nConsulting pathologist at Oslo University Hospital\nMedical doctor and specialist in pathology with extensive diagnostic experience.\nQualified veterinarian with pathology expertise in pharmaceutical research and development.\n\n\n\n\nEmilia Lönnberg\, Commercial Product Manager\, Aiforia Technologies \n\n\n\nHas worked at Aiforia for 4 years\nMSc in life science technologies from Aalto University\, major in human neuroscience
URL:https://www.pathologynews.com/event/pathologist-and-ai-a-collaboration-in-practice/
LOCATION:Online
CATEGORIES:Live Online Webinar
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