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Ben Glocker

Showing results (71-80 of 132) with videos related to

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Medical Image Analysis|August 19, 2017
Learning and combining image neighborhoods using random forests for neonatal brain disease classificationVeronika A Zimmer, Ben Glocker, Nadine Hahner, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MRDarko Zikic, Ben Glocker, Ender Konukoglu, et al.
Frontiers in Neurology|September 9, 2020
Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive OutcomeAnna Östberg, Christian Ledig, Ari Katila, et al.
Medical Image Analysis|February 21, 2019
Evaluating reinforcement learning agents for anatomical landmark detectionAmir Alansary, Ozan Oktay, Yuanwei Li, et al.
Plos One|March 29, 2017
Multi-channel MRI segmentation of eye structures and tumors using patient-specific featuresCarlos Ciller, Sandro De Zanet, Konstantinos Kamnitsas, et al.
IEEE Transactions on Medical Imaging|January 6, 2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac ImagesOzan Oktay, Wenjia Bai, Ricardo Guerrero, et al.
The Lancet. Digital Health|November 25, 2022
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screeningAnastasia Chalkidou, Farhad Shokraneh, Goda Kijauskaite, et al.
Journal of Neurotrauma|October 24, 2020
Systemic Markers of Injury and Injury Response Are Not Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) StudyFrederick A Zeiler, François Mathieu, Miguel Monteiro, et al.
The Lancet. Digital Health|December 17, 2020
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation studyMiguel Monteiro, Virginia F J Newcombe, Francois Mathieu, et al.
JMIR Research Protocols|June 28, 2024
Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic ReviewAditya U Kale, Henry David Jeffry Hogg, Russell Pearson, et al.
Pageof 14

Showing results (71-80 of 132) with videos related to

Sort By:
Pageof 14
Medical Image Analysis|August 19, 2017
Learning and combining image neighborhoods using random forests for neonatal brain disease classificationVeronika A Zimmer, Ben Glocker, Nadine Hahner, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MRDarko Zikic, Ben Glocker, Ender Konukoglu, et al.
Frontiers in Neurology|September 9, 2020
Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive OutcomeAnna Östberg, Christian Ledig, Ari Katila, et al.
Medical Image Analysis|February 21, 2019
Evaluating reinforcement learning agents for anatomical landmark detectionAmir Alansary, Ozan Oktay, Yuanwei Li, et al.
Plos One|March 29, 2017
Multi-channel MRI segmentation of eye structures and tumors using patient-specific featuresCarlos Ciller, Sandro De Zanet, Konstantinos Kamnitsas, et al.
IEEE Transactions on Medical Imaging|January 6, 2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac ImagesOzan Oktay, Wenjia Bai, Ricardo Guerrero, et al.
The Lancet. Digital Health|November 25, 2022
Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screeningAnastasia Chalkidou, Farhad Shokraneh, Goda Kijauskaite, et al.
Journal of Neurotrauma|October 24, 2020
Systemic Markers of Injury and Injury Response Are Not Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) StudyFrederick A Zeiler, François Mathieu, Miguel Monteiro, et al.
The Lancet. Digital Health|December 17, 2020
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation studyMiguel Monteiro, Virginia F J Newcombe, Francois Mathieu, et al.
JMIR Research Protocols|June 28, 2024
Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic ReviewAditya U Kale, Henry David Jeffry Hogg, Russell Pearson, et al.
Pageof 14