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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