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PO-0987: Ultrasound image guided radiotherapy for prostate cancer using a transperineal probe

Radiotherapy and oncology, 2015-04, Vol.115, p.S527-S527

2015

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Size and shape estimation of 3-D convex objects from their 2-D projections: application to crystallization processes

Journal of microscopy (Oxford), 2012-11, Vol.248 (2), p.140-155

2012

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PO-0990: Impact of probe pressure variability on prostate localization for ultrasound-based image-guided radiotherapy

Radiotherapy and oncology, 2014, Vol.111, p.S141-S142

2014

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Adaptation of treatment margins for hypofractionated radiotherapy of prostate cancer

Physica medica, 2014-12, Vol.30, p.e123-e124

2014

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Feasibility of image guided radiotherapy based on ultrasound modality for prostate inter and intra fraction motion

Physica medica, 2014-12, Vol.30, p.e123-e123

2014

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Evaluation of an ultrasound-based imaging system for pelvic cancer localization in radiotherapy

Physica medica, 2013-06, Vol.29, p.e3-e3

2013

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Realistic Simulations for the Evaluation of Monomodal Registration Algorithms of 3D Pelvic Ultrasound Images

Physics procedia, 2015, Vol.70, p.1169-1172

2015

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Intelligence Artificielle et nodules thyroïdiens : aide au TIRADS, indication de cytoponction. Étude prospective

Annales d'endocrinologie, 2021-10, Vol.82 (5), p.392-392

2021

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Impact of probe pressure variability on prostate localization for ultrasound-based image-guided radiotherapy

Radiotherapy and oncology, 2014-04, Vol.111 (1), p.132-137

2014

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FusionNet: A Frame Interpolation Network for 4D Heart Models

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, 2023, p.35-44

2023

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Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, 2023-10, p.265-275

2023

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Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, 2023-10, p.193-204

2023

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Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.241-252

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SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.368-377

Volltextzugriff (PDF)

Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.336-346

Volltextzugriff (PDF)

Operating Critical Machine Learning Models in Resource Constrained Regimes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.325-335

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Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.286-298

Volltextzugriff (PDF)

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.347-356

Volltextzugriff (PDF)

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.168-181

Volltextzugriff (PDF)

A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.69-79

Volltextzugriff (PDF)

RPTK: The Role of Feature Computation on Prediction Performance

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.113-122

Volltextzugriff (PDF)

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.24-34

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Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.205-213

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A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.14-23

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BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.182-192

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PO-0987: Ultrasound image guided radiotherapy for prostate cancer using a transperineal probe

Size and shape estimation of 3-D convex objects from their 2-D projections: application to crystallization processes

PO-0990: Impact of probe pressure variability on prostate localization for ultrasound-based image-guided radiotherapy

Adaptation of treatment margins for hypofractionated radiotherapy of prostate cancer

Feasibility of image guided radiotherapy based on ultrasound modality for prostate inter and intra fraction motion

Evaluation of an ultrasound-based imaging system for pelvic cancer localization in radiotherapy

Realistic Simulations for the Evaluation of Monomodal Registration Algorithms of 3D Pelvic Ultrasound Images

Intelligence Artificielle et nodules thyroïdiens : aide au TIRADS, indication de cytoponction. Étude prospective

Impact of probe pressure variability on prostate localization for ultrasound-based image-guided radiotherapy

FusionNet: A Frame Interpolation Network for 4D Heart Models

Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline

Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information

Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification

SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image

Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation

Operating Critical Machine Learning Models in Resource Constrained Regimes

Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease

RPTK: The Role of Feature Computation on Prediction Performance

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis

A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks

BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

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