Kimia Lab
The Laboratory for Knowledge Inference in Medical Image Analysis, short KIMIA Lab, established in Fall 2013 at the University of Waterloo, envisions to conduct research at the forefront of mass image data in medical archives using machine learning schemes with ultimate goal of extracting information that cannot only support a more speedy and accurate diagnosis and treatment of many diseases but also, and more significantly, establish new quality assurance based on mining of collective knowledge and wisdom.
This channel promotes teaching and research activities at Kimia Lab, Mayo Clinic, Rochester, MN, USA.
History of this channel:
2010-2013 Segasist Technologies
2013-2023 Kimia Lab, University of Waterloo
2024-present Kimia Lab, Mayo Clinic, USA
ИИ, базовые модели и поиск изображений в вычислительной патологии
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
Сосредоточьтесь на содержании: новая схема обучения классификации изображений на слайдах
Digitizing Glass Slides to use AI for Computational Pathology
ИИ, цифровая патология и вариабельность наблюдателей: от поиска изображений к достижению диагност...
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
Могут ли агенты ИИ быть этичными? (Этика искусственного интеллекта в медицинской визуализации)
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)