Kimia Lab

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The Laboratory for Knowledge Inference in Medical Image Analysis, short KIMIA Lab, established in Fall 2013 at the University of Waterloo, envisions to condu...

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AI, Foundation Models and Image Retrieval in Computational Pathology

Core Ideas in Artificial Intelligence From Perceptron to Transformers

Foundation Models and Information Retrieval in Digital Pathology

Image Search in Histopathology - The Past, Present, and the Path Forward

Learning or Searching in Digital Pathology

Kimia Lab - A Snapshot

Matching Breast Biopsy Images to the Digital WHO Atlas

Pay Attention with Focus A Novel Learning Scheme for Classification of Whole Slide Images

Digitizing Glass Slides to use AI for Computational Pathology

AI, Digital Pathology and Observer Variability From Image Search to Building Diagnostic Consensus

Artificial Intelligence in Medical Imaging

KimiaNet - Training a Histopathology Deep Network from Scratch

Recognizing Magnification Levels in Microscopic Snapshots - EMBC 2020

Supervision & Source Domain Impact on Representation Learning A Histopathology Case Study -EMBC2020

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images - IJCNN 2020

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks - IJCNN 2020

Representation Learning of Histopathology Images using Graph Neural Networks - CVPR 2020 CVMI

AI in Pathology - A Dell Technologies Video on Huron Digital Pathology and Kimia Lab

Image Search for Pan-Cancer Diagnostic Consensus - Dell Technologies Virtual HIMSS20 Webinar

AI system more accurately identifies collapsed lungs using chest x-rays CTV News

Can AI Agents be Ethical (Ethics of Artificial intelligence in Medical Imaging)

Introduction to Digital Pathology and AI Algorithms

Machine Intelligence - Lecture 21 (Naive Bayes, Swarm Intelligence, Ant Colonies)

Machine Intelligence - Lecture 20 (Bayesian Learning, Bayes Theorem, Naive Bayes)

Machine Intelligence - Lecture 19 (Opposition-Based Learning, GAs, DE)

Machine Intelligence - Lecture 18 (Evolutionary Algorithms)

Machine Intelligence - Lecture 17 (Fuzzy Logic, Fuzzy Inference)

Machine Intelligence - Lecture 16 (Decision Trees)

Machine Intelligence - Lecture 15 (Reinforcement Learning, Q-Learning)

Machine Intelligence - Lecture 14 (Overfitting in Deep Learning, Reinforcement Learning)