Pierre-Henri Conze
Orcid: 0000-0003-2214-3654
According to our database1,
Pierre-Henri Conze
authored at least 70 papers
between 2012 and 2024.
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Bibliography
2024
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction.
CoRR, 2024
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis.
CoRR, 2024
2023
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology.
Comput. Medical Imaging Graph., December, 2023
Semi-automatic muscle segmentation in MR images using deep registration-based label propagation.
Pattern Recognit., August, 2023
Cross-dimensional transfer learning in medical image segmentation with deep learning.
Medical Image Anal., August, 2023
Cross-modal tumor segmentation using generative blending augmentation and self training.
CoRR, 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction.
Proceedings of the Myopic Maculopathy Analysis, 2023
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Medical Image Anal., 2022
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors.
Medical Image Anal., 2022
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation.
J. Digit. Imaging, 2022
CoRR, 2022
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network.
Artif. Intell. Medicine, 2022
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Medical Image Anal., 2021
Medical Image Anal., 2021
Medical Image Anal., 2021
A new conditional region growing approach for microcalcification delineation in mammograms.
Medical Biol. Eng. Comput., 2021
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks.
Artif. Intell. Medicine, 2021
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Multim. Tools Appl., 2020
Automatic detection of rare pathologies in fundus photographs using few-shot learning.
Medical Image Anal., 2020
Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization.
Medical Biol. Eng. Comput., 2020
Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis.
CoRR, 2020
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders.
Comput. Medical Imaging Graph., 2020
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020
2019
Medical Image Anal., 2019
Automatic detection of multiple pathologies in fundus photographs using spin-off learning.
CoRR, 2019
Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.
Medical Image Anal., 2018
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018
Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Long-term superpixel tracking using unsupervised learning and multi-step integration.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018
2017
J. Electronic Imaging, 2017
Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks.
CoRR, 2017
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans.
Int. J. Comput. Assist. Radiol. Surg., 2017
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Multi-reference combinatorial strategy towards longer long-term dense motion estimation.
Comput. Vis. Image Underst., 2016
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
2014
Long-term dense motion estimation and view synthesis quality assessment with application to joint stereo and motion processing. (Estimation de mouvement dense long-terme et évaluation de qualité de la synthèse de vues. Application à la coopération stéréo-mouvement).
PhD thesis, 2014
Proceedings of the VISAPP 2014, 2014
2013
Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection.
Proceedings of the IEEE International Conference on Image Processing, 2013
2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Stereoscopic Displays and Applications XXIII, 2012
Proceedings of the Stereoscopic Displays and Applications XXIII, 2012
Multi-step flow fusion: towards accurate and dense correspondences in long video shots.
Proceedings of the British Machine Vision Conference, 2012