Webinars
Upcoming Webinar
Latest Webinar
Custom deep learning algorithms to analyze histological images in DeePathology™ STUDIO
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 Ltd.
AI solution for prostate cancer by Dr. Kirsten Utpatel, University of Regensburg
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 Ltd
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 the Department of Neuropathology @ University of Oslo & University Hospital Oslo Head of Neuropathology www.pahnkelab.eu
Dr. Chen Sagiv
Co founder & Co CEO @ DeePathology Ltd
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 at 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 CEO @ DeePathology Ltd.
AI for Pathologists Course – Lecture 8
Wet Lab with the DeePathology™ STUDIO
Dr. Chen Sagiv
Co CEO @ DeePathology Ltd.
AI for Pathologists Course – Lecture 7
Explainability, Validation and more
Dr. Chen Sagiv
Co CEO @ DeePathology Ltd.
AI for Pathologists Course – Lecture 6
Real life examples of Deep Learning in Pathology
Dr. Chen Sagiv
Co CEO @ DeePathology Ltd.
AI for Pathologists Course – Lecture 5
All about DATA
Chen Sagiv
Co CEO @DeePathology Ltd.
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.
Aleksandra Zuraw
Toxicologic Pathologist and Publisher @ Digital Pathology Place
Chen Sagiv
Co CEO @ DeePathology Ltd.
AI for Pathologists Course – Lecture 4
Neural Networks Architectures
Chen Sagiv
Co CEO @DeePathology Ltd.
AI for Pathologists Course – Lecture 3
Neural Networks Training & Architectures
Chen Sagiv
Co CEO @DeePathology Ltd.
AI for Pathologists Course – Lecture 2
Neural Networks Training & Architectures
Dr. Chen Sagiv
Co CEO @ DeePathology Ltd.
AI for Pathologists Course – Lecture 1
Introduction to Image Analysis and Deep Learning
Chen Sagiv
Co CEO @DeePathology Ltd.
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 of DeePathology
Garazi Serna, Lab Manager,
Val d’Hebron Institute of Oncology, Barcelona
When a Pathologist meets a Mathematician
On making pathology workflow better
Aleksandra Zuraw
Toxicologic Pathologist and Publisher @ Digital Pathology Place
Chen Sagiv
Co CEO @ DeePathology Ltd.
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 Ltd.
