Schedule

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Day 1 - Friday
November 04, 2022
09:30 - 11:30
TUTORIAL - Getting started with MONAI
By Ahmad Ahmadi Munich, DE
11:00 - 12:00
REGISTRATION
12:00 - 12:10
WELCOME
By Thomas Kau Villach, AT
12:10 - 12:30
AI in breast imaging: Where we are and where to go
By Michael Fuchsjäger Graz, AT
12:30 - 13:10
Building trust in imaging AI
By Roland Wiest Berne, CH
13:10 - 13:20
Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning
By Balazs Feher Vienna, AT
13:20 - 13:30
Prediction of malignancy with RGB profiling of pancreatic mass-elastographies and contrast-enhanced images by endoscopic ultrasound
By Marcel Razpotnik Klagenfurt, AT
13:30 - 14:00
Coffee Break
14:00 - 14:40
AI in histopathology: The path to the clinic
By Jeroen Van der Laak Nijmegen, NL
14:40 - 14:50
Elastomeric sensors for 3D shape sensing
By Peter W. Pfaffeneder Klagenfurt, AT
14:50 - 15:20
The business of AI - expectations and reality
By Clemens Wasner Vienna, AT
15:20 - 16:00
Deep Learning for image acquisition and reconstruction
By Matthew Rosen Boston, US
16:00 - 16:10
Deep learning for prediction of genetic alterations in colorectal cancer using decentralized Swarm Learning
By Oliver L. Saldanha Dresden, DE
16:10 - 16:40
Coffee Break
16:40 - 17:20
Precision cancer computing: Imaging biomarkers for screening, diagnosis and prognosis
By Le Lu New York, US
17:20 - 17:30
Making radiological reports patient-friendly - a machine learning approach
By Felix Gunzer Graz, AT
17:30 - 18:00
Surgical data science and digital oncology - from concept to clinic
By Keno März Heidelberg, DE
18:00 - 18:30
Healthcare AI: Safe, multi-compatible, and affordable?
By Peter Segers Valencia, ES
18:30 - 21:00
Get Together

Day 2 - Saturday
November 05, 2022
08:30 - 09:00
Accelerating the medical AI ecosystem with the Medical Open Network for AI
By Ahmad Ahmadi Munich, DE
09:00 - 09:40
Deskilling, upskilling and reskilling: a case for hybrid intelligence
By Helmut Prosch Vienna, AT, Georg Langs Vienna, AT
09:40 - 10:00
Sustainable AI - Accelerate your business through AI
By Patrick Ratheiser Graz, AT
10:00 - 10:30
Coffee Break
10:30 - 11:10
Towards Trustworthy AI for Medical Imaging and Analysis
By Hao Chen Hongkong, CN
11:10 - 11:20
Improved self-calibrated signal model for χ-separation using single-subject (N=1) physics-constrained deep learning with histological validation
By Ilyes Benslimane Buffalo, US
11:20 - 12:00
AI from COVID-19 to breast imaging: pursuing cross-fertilization between radiologists and data scientists
By Francesco Sardanelli Milan, IT
12:00 - 12:10
Automatic Detection of Periapical Osteolytic Lesions on CBCT Using Deep CNNs
By Barbara Kirnbauer Graz, AT
12:10 - 12:50
LUNCH
12:50 - 13:20
Structured reporting - a prerequisite for precision medicine or an end in itself?
By Daniel Pinto dos Santos Cologne, DE
13:20 - 13:50
The AI ecosystem: How collaboration can facilitate implementation of AI in radiology
By Anna Tidstam Munich, DE
13:50 - 14:10
A data-based approach for individualized medical treatment
By Eva Eggeling Graz, AT
14:10 - 15:00
Medical imaging in 3 years from now: 1 wish and 1 educated guess
By Georg Langs Vienna, AT, Eva Eggeling Graz, AT, Francesco Sardanelli Milan, IT, Anna Tidstam Munich, DE, Daniel Pinto dos Santos Cologne, DE
15:00 - 15:10
Wrap up & Award ceremony
By Thomas Kau Villach, AT

Schedule

Day 1 - Friday

TUTORIAL - Getting started with MONAI

REGISTRATION

WELCOME

AI in breast imaging: Where we are and where to go

Building trust in imaging AI

Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning

Prediction of malignancy with RGB profiling of pancreatic mass-elastographies and contrast-enhanced images by endoscopic ultrasound

Coffee Break

AI in histopathology: The path to the clinic

Elastomeric sensors for 3D shape sensing

The business of AI - expectations and reality

Deep Learning for image acquisition and reconstruction

Deep learning for prediction of genetic alterations in colorectal cancer using decentralized Swarm Learning

Coffee Break

Precision cancer computing: Imaging biomarkers for screening, diagnosis and prognosis

Making radiological reports patient-friendly - a machine learning approach

Surgical data science and digital oncology - from concept to clinic

Healthcare AI: Safe, multi-compatible, and affordable?

Get Together

Day 2 - Saturday

Accelerating the medical AI ecosystem with the Medical Open Network for AI

Deskilling, upskilling and reskilling: a case for hybrid intelligence

Sustainable AI - Accelerate your business through AI

Coffee Break

Towards Trustworthy AI for Medical Imaging and Analysis

Improved self-calibrated signal model for χ-separation using single-subject (N=1) physics-constrained deep learning with histological validation

AI from COVID-19 to breast imaging: pursuing cross-fertilization between radiologists and data scientists

Automatic Detection of Periapical Osteolytic Lesions on CBCT Using Deep CNNs

LUNCH

Structured reporting - a prerequisite for precision medicine or an end in itself?

The AI ecosystem: How collaboration can facilitate implementation of AI in radiology

A data-based approach for individualized medical treatment

Medical imaging in 3 years from now: 1 wish and 1 educated guess

Wrap up & Award ceremony

Co-organizer

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