Webinars

Join one of our upcoming live webinars and courses for a chance to ask your questions.

Learn more about the DeePathology STUDIO user experience, features and different use cases? Watch our on-demand webinars.

Not a lot of time? Watch our short videos introducing one feature at a time.

Watch all lectures of our introductory course about AI in pathology targeting pathologists and biologists that want to learn about this exciting field.

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)

July 1, 2022

On-demand webinars

Custom deep learning algorithms to analyze histological images in DeePathology™ STUDIO

Dr. Luisa Möhle (Department of Pathology @ University of Oslo)

May 20, 2021

DeePathology™ STUDIO 2021- The best Do It Yourself platform for AI in Pathology

We invite you to hear Jacob GildenblatDeePathology co-founder and CTO on March 16 talking about the DeePathology™ STUDIO 2021 with exciting new features

Jacob Gildenblat (Co-Founder & CTO @ DeePathology)

March 16, 2021

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)

January 26, 2021

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)

December 10, 2020

My experience with the DeePathology™ STUDIO

Prostate Cancer Classification

 

Dr. med. Kirsten Utpatel (University of Regensburg, Germany)

December 8, 2020

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)

 

December 7, 2020

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)

November 2, 2020

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)

September 30, 2020

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)

July 15, 2020

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)

June 18, 2020

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)

 

March 18, 2019

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)

May 4, 2022

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)

January 10, 2022

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)

December 13, 2021

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)

November 25, 2021

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)

November 18, 2021

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)

November 11, 2021

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)

November 4, 2021

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)

January 18, 2022

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)

September 1, 2020