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Florin C Ghesu

Showing results (1-10 of 16) with videos related to

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Journal of Mechanisms and Robotics|February 8, 2024
Separable Tendon-Driven Robotic Manipulator with a Long, Flexible, Passive Proximal SectionChristian DeBuys, Florin C Ghesu, Jagadeesan Jayender, et al.
Medical Image Analysis|July 4, 2018
Towards intelligent robust detection of anatomical structures in incomplete volumetric dataFlorin C Ghesu, Bogdan Georgescu, Sasa Grbic, et al.
Medical Physics|January 14, 2026
Single shot full plan deep learning dose computation for radiation therapy using spherical harmonicsMartin F Kraus, Riqiang Gao, Simon Arberet, et al.
Medical Physics|February 12, 2025
Beam's eye view to fluence maps 3D network for ultra fast VMAT radiotherapy planningSimon Arberet, Florin C Ghesu, Riqiang Gao, et al.
IEEE Transactions on Medical Imaging|April 6, 2016
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image ParsingFlorin C Ghesu, Edward Krubasik, Bogdan Georgescu, et al.
Medical Image Analysis|May 20, 2021
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessmentSebastian Gündel, Arnaud A A Setio, Florin C Ghesu, et al.
IEEE Transactions on Medical Imaging|September 23, 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial AttacksSiqi Liu, Arnaud Arindra Adiyoso Setio, Florin C Ghesu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 17, 2024
Self-supervised learning for interventional image analytics: toward robust device trackersSaahil Islam, Venkatesh N Murthy, Dominik Neumann, et al.
Scientific Reports|May 9, 2026
PatchCLIP enables region specific contrastive health record and image joint training with patch embedding lossSheethal Bhat, Awais Mansoor, Bogdan Georgescu, et al.
Investigative Radiology|January 22, 2021
Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground TruthEduardo J Mortani Barbosa, Warren B Gefter, Florin C Ghesu, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of Mechanisms and Robotics|February 8, 2024
Separable Tendon-Driven Robotic Manipulator with a Long, Flexible, Passive Proximal SectionChristian DeBuys, Florin C Ghesu, Jagadeesan Jayender, et al.
Medical Image Analysis|July 4, 2018
Towards intelligent robust detection of anatomical structures in incomplete volumetric dataFlorin C Ghesu, Bogdan Georgescu, Sasa Grbic, et al.
Medical Physics|January 14, 2026
Single shot full plan deep learning dose computation for radiation therapy using spherical harmonicsMartin F Kraus, Riqiang Gao, Simon Arberet, et al.
Medical Physics|February 12, 2025
Beam's eye view to fluence maps 3D network for ultra fast VMAT radiotherapy planningSimon Arberet, Florin C Ghesu, Riqiang Gao, et al.
IEEE Transactions on Medical Imaging|April 6, 2016
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image ParsingFlorin C Ghesu, Edward Krubasik, Bogdan Georgescu, et al.
Medical Image Analysis|May 20, 2021
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessmentSebastian Gündel, Arnaud A A Setio, Florin C Ghesu, et al.
IEEE Transactions on Medical Imaging|September 23, 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial AttacksSiqi Liu, Arnaud Arindra Adiyoso Setio, Florin C Ghesu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 17, 2024
Self-supervised learning for interventional image analytics: toward robust device trackersSaahil Islam, Venkatesh N Murthy, Dominik Neumann, et al.
Scientific Reports|May 9, 2026
PatchCLIP enables region specific contrastive health record and image joint training with patch embedding lossSheethal Bhat, Awais Mansoor, Bogdan Georgescu, et al.
Investigative Radiology|January 22, 2021
Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground TruthEduardo J Mortani Barbosa, Warren B Gefter, Florin C Ghesu, et al.
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