Webinars
Upcoming webinars
AI for Pathologists Course 2022 (Asia edition)
In 2022, we will offer an update version of our successful AI for Pathologists Course.
Write us at [email protected] to receive updates about this upcoming webinar series.
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
On-demand webinars
Custom deep learning algorithms to analyze histological images in DeePathology™ STUDIO
Dr. Luisa Möhle (Department of Pathology @ University of Oslo)
DeePathology™ STUDIO 2021- The best Do It Yourself platform for AI in Pathology
We invite you to hear Jacob Gildenblat, DeePathology co-founder and CTO on March 16 talking about the DeePathology™ STUDIO 2021 with exciting new features
Jacob Gildenblat (Co-Founder & CTO @ DeePathology)
AI solution for prostate cancer
The DeePathology™ STUDIO is used to create AI solutions for the detection and classification of prostate tumors.
Join Dr. Kirsten Utpatel and Dr. Chen Sagiv to see a live demonstration of creating AI solutions super fast using the innovative TILES mode.
Dr. med. Kirsten Utpatel (University of Regensburg, Germany)
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
Automated, AI-supported analyses in Alzheimer’s disease research
The DeePathology™ STUDIO is used for automated analysis of amyloid-β plaques species, microglia, astrocytes and neurons in histological slides of animal models of Alzheimer’s disease
Prof. Jens Pahnke (Head of Neuropathology @ University of Oslo & University Hospital Oslo, www.pahnkelab.eu)
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
My experience with the DeePathology™ STUDIO
Prostate Cancer Classification
Dr. med. Kirsten Utpatel (University of Regensburg, Germany)
My experience with the DeePathology™ STUDIO
AI solutions with small amounts of data: from NSCLC to cancer type classification
Garazi Serna (VHIO, Barcelona, Spain @ DeePathology ECP 2020 virtual booth)
AI, Pathology & Radiology
Radiology went digital 20 years ago, Pathology is going digital right now.
When it comes to AI, what can Pathology learn from the experience of Radiology?
We invite you to join a webinar that brings together a pathologist, a radiologist and two technology experts – all work to bring AI to radiology and pathology.
Dr. Vanessa Schumacher (Head of Digital Pathology and Tissue Technologies @ pRED Roche Innovation Center Basel)
Dr. Michal Guindy (Head of medical imaging (radiology) @ Assuta Medical Centers)
Dr. Ayelet Akselrod-Ballin (VP Research @ Zebra Medical)
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
The Good, the Bad and the Biased – How can pathologists assess the correctness of AI?
The ways to assess the correctness of AI solutions and showcase real life examples from Pathology.
This is the second webinar in the series “When a Pathologist meet a Mathematician” featuring the pathologist Dr. Aleksandra Zuraw and the mathematician Dr. Chen Sagiv.
Dr. Aleksandra Zuraw (Toxicologic Pathologist and Publisher @ Digital Pathology Place)
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
DeePathology STUDIO – Your Personal AI Pathology Platform
Real Life Demonstration of the STUDIO and Automaed Quantification of Tumor Area and Cellilarity in Non-small Cell Lung Cancer (NSCLC) Digital Slides
Jacob Gildenblat (Co-Founder & CTO @ DeePathology)
Garazi Serna (Lab Manager @ Val d’Hebron Institute of Oncology, Barcelona)
When a Pathologist meets a Mathematician
On making pathology workflow better
Dr. Aleksandra Zuraw (Toxicologic Pathologist and Publisher @ Digital Pathology Place)
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
Active Learning for Fast and Efficient Annotation of Medical Images – IMVC 2019
The 10th Israel Machine Vision Conference (IMVC) took place on March 18, 2019 at Pavilion 10, EXPO Tel Aviv. Jacob Gildenblat spoke at a conference on “Active Learning for Fast and Efficient Annotation of Medical Images”.
Jacob Gildenblat (Co-Founder & CTO @ DeePathology)
Short videos
How to detect mitotic figures with the DeePathology™ STUDIO
Learn how you can easily create algorithms in the objects mode of the STUDIO as illustrated with this example of mitotic figure detection in hepatocellular carcinoma.
* The results shown in this video are in whole or part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga
Dr. Luisa Möhle (Scientific Consultant @ DeePathology)
Creating multilayered analyses by combining algorithms
Using the STUDIO, you can combine different types of algorithms to create multilayered analyses of whole slide images, for example to calculate the density of different cell types in different regions of a sample as illustrated in this video on a NeuN-stained FFPE mouse brain section.
Dr. Luisa Möhle (Scientific Consultant @ DeePathology)
Validate your algorithm
Learn how you can validate your algorithm based on ground truth annotations to have exact control over the algorithm’s performance.
Dr. Luisa Möhle (Scientific Consultant @ DeePathology)
Cells Mode: Gallery for quick annotation
Learn how to use the Gallery in the Cells Mode to develop an algorithm that quickly and accurately detects neurons for further quantification in FFPE mouse brain sections stained against the neuronal marker NeuN.
Dr. Luisa Möhle (Scientific Consultant @ DeePathology)
Regions Mode
Learn how to use the Regions Mode to create a simple region segmentation algorithm that identifies the hippocampus in H&E mouse brain sections.
Dr. Luisa Möhle (Scientific Consultant @ DeePathology)
How to play ping pong with your AI
Learn about interactive learning and how users collaborate with the DeePathology STUDIO to create innovative AI solutions.
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
Annotation Review
Learn about the annotation review feature of the DeePathology STUDIO and how it is used to perform quality control of the annotations made by the user in a region segmentation problem.
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
Courses
AI for Pathologists Course 2022
- Session 1: Introduction to AI and DL architectures
- Session 2: Neural networks: architecture, training & optimization
- Session 3: Deep Learning Architectures: Classification
- Session 4: Segmentation, Detection, GANS, Weakly Supervised, Transfer Learning
- Session 5: XAI & Accuracy Metrics
- Session 6: AI for Pathology in practice with the DeePathology STUDIO
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
AI for Pathologists Course 2020
- Session 1: Introduction to Image Analysis and Deep Learning
- Session 2-4: Neural Networks Training & Architectures
- Session 5: All about DATA
- Session 6: Real life examples of Deep Learning in Pathology
- Session 7: Explainability, Validation and more
- Session 8: Wet Lab with the DeePathology™ STUDIO
Dr. Chen Sagiv (Co-Founder & Co-CEO @ DeePathology)
