Home
Projects
Labs
Publications
Teaching
Events
Press
Collaborators
Job Openings
Light
Dark
Automatic
Machine learning
Information extraction from weakly structured radiological reports with natural language queries
Amin Dada
,
Tim Leon Ufer
,
Moon Kim
,
Max Hasin
,
Nicola Spieker
,
Michael Forsting
,
Felix Nensa
,
Jan Egger
,
Jens Kleesiek
Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management
Alexander Brehmer
,
Christopher M. Sauer
,
Jayson Salazar
,
Kelsey Hermmann
,
Moon Kim
,
Julius Keyl
,
Fin H. Bahnsen
,
Benedikt Frank
,
Martin Köhrmann
,
Tienush Rassaf
,
Amir-Abbas Mahabadi
,
Boris Hadaschik
,
Christopher Darr
,
Ken Herrmann
,
Susanne Tan
,
Jan Buer
,
Thorsten Brenner
,
Hans Christian Reinhardt
,
Felix Nensa
,
Michael Gertz
,
Jan Egger
,
Jens Kleesiek
Multimodal survival prediction in advanced pancreatic cancer using machine learning
J. Keyl
,
S. Kasper
,
M. Wiesweg
,
J. Götze
,
M. Schönrock
,
M. Sinn
,
A. Berger
,
E. Nasca
,
K. Kostbade
,
B. Schumacher
,
P. Markus
,
D. Albers
,
J. Treckmann
,
K. W. Schmid
,
H. -U. Schildhaus
,
J. T. Siveke
,
M. Schuler
,
J. Kleesiek
Deep Learning–driven classification of external DICOM studies for PACS archiving
Frederic Jonske
,
Maximilian Dederichs
,
Moon Kim
,
Julius Keyl
,
Jan Egger
,
Lale Umutlu
,
Michael Forsting
,
Felix Nensa
,
Jens Kleesiek
Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung
Jens Kleesiek
,
Jacob M. Murray
,
Georgios Kaissis
,
Rickmer Braren
Cite
×
