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KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis) is a machine learning and computer vision research group at Mayo Clinic

Rochester, MN
Joined February 2017
Kimia Lab Celebrates Global and Institutional Recognition for Director @HRTizhoosh - Highest ranked #AI researcher at Mayo Clinic. Read: linkedin.com/pulse/mayo-clin…
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Significant safety risk of pathology foundation models. the paper demonstrates that foundation models are uniquely vulnerable because of their scale, shared architectures (especially ViTs), and representational uniformity across models. URL: arxiv.org/abs/2510.16660 #AI #pathology
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#NeurIPS2025 Submission Accepted. HeteroTissue-Diffuse generates synthetic #tissue images with realistic heterogeneous compositions that are indistinguishable from real patient biopsies. Preprint: arxiv.org/abs/2509.17847 Project: kimialabmayo.github.io/heter…
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Core Ideas in Artificial Intelligence: From Perceptron to Transformers URL: youtube.com/watch?v=jLzaeJ60… Speaker: @HRTizhoosh - Invited Talk Location: University of Minnesota, MN #Neuron, #Perceptron, #MLP, #Autoencoder, #CNN, #Attention, #Transformer, #GenerativeAI
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Talk: Image Search in Histopathology - The Past, Present, and the Path Forward URL: pathologyinformatics.org/pi-… #Ai #Pathology #histology #histopathology #image #search #retrieval @HRTizhoosh
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The 2024 Pathology Informatics Summit URL: pathologyinformatics.org/pi-…
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The codebase for our #CVPR2024 paper and the recently published paper at Mayo Clinic Proceedings - Digital Health are now on GitHub enabling #AI model validation and promote discussion within the #histopathology research community. GitHub: kimialabmayo.github.io/PathD…
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We will present our most recent work at #CVPR2024: "Rotation-Agnostic Image Representation Learning for Digital Pathology" Preprint: arxiv.org/pdf/2311.08359.pdf #histopathology #AI #selfsupervision #WSI #deeplearning
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