Pierre-Henri Conze

发表

A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation

B. Solaiman, M. Mahjoub, Asmae Touil, 2022, Journal of Digital Imaging.

A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation

B. Solaiman, M. Mahjoub, Asmae Touil, 2022, Journal of Digital Imaging.

Automatic Screening for Ocular Anomalies Using Fundus Photographs

G. Quellec, M. Lamard, B. Cochener, 2021, Optometry and vision science : official publication of the American Academy of Optometry.

ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis

G. Quellec, M. Lamard, B. Cochener, 2020, Medical Image Anal..

Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification

G. Quellec, M. Lamard, B. Cochener, 2022, OMIA@MICCAI.

Automatic detection of multiple pathologies in fundus photographs using spin-off learning

Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, 2019, Medical image analysis.

Endoscopic Vision Challenge

Kévin Le Mut, L. Maier-Hein, A. Jarc, 2020 .

CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation

Andreas Nürnberger, Oliver Speck, Pierre-Henri Conze, 2020, Medical Image Anal..

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks pdf

Naciye Sinem Gezer, M. Alper Selver, Pierre-Henri Conze, 2020, Artif. Intell. Medicine.

Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

V. Burdin, C. Pons, P. Conze, 2022, Medical Image Anal..

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

S. Brochard, V. Burdin, C. Pons, 2019, Comput. Medical Imaging Graph..

Two-Stage Multi-Scale Mass Segmentation From Full Mammograms

Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching

Gwénolé Quellec, Mathieu Lamard, Gouenou Coatrieux, 2020, MLMI@MICCAI.

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

D. Štern, Song Gu, Xiaoping Yang, 2022, Medical Image Anal..

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

Satoshi Kondo, Gwénolé Quellec, Mathieu Lamard, 2019, Medical Image Anal..

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks

Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, 2018, Medical Image Anal..

Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

V. Burdin, C. Pons, Bhushan S Borotikar, 2021, MICCAI.

Multi-reference combinatorial strategy towards longer long-term dense motion estimation

Philippe Robert, Pierre-Henri Conze, Tomás Crivelli, 2016, Comput. Vis. Image Underst..

Robust Optical Flow Integration

Patrick Pérez, Philippe Robert, Pierre-Henri Conze, 2015, IEEE Transactions on Image Processing.

Dense long-term motion estimation via statistical multi-step flow

Philippe Robert, Pierre-Henri Conze, Tomás Crivelli, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Multi-step flow fusion: towards accurate and dense correspondences in long video shots

Patrick Pérez, Philippe Robert, Pierre-Henri Conze, 2012, BMVC.

From optical flow to dense long term correspondences

Patrick Pérez, Philippe Robert, Pierre-Henri Conze, 2012, 2012 19th IEEE International Conference on Image Processing.

Unsupervised learning-based long-term superpixel tracking

Fabrice Heitz, Gwénolé Quellec, Mathieu Lamard, 2019, Image Vis. Comput..

Semi-automatic muscle segmentation in MR images using deep registration-based label propagation

F. Rousseau, S. Brochard, D. Salem, 2023, Pattern Recognition.

Automatic detection of microcalcification based on morphological operations and structural similarity indices

Mohamed Ali Mahjoub, Basel Solaiman, Asma Touil, 2020 .

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network pdf

Bhushan Borotikar, Arnaud Boutillon, Val'erie Burdin, 2020, Artif. Intell. Medicine.

Detection of Diabetic Retinopathy Using Longitudinal

G. Quellec, M. Lamard, B. Cochener, 2022, OMIA@MICCAI.

Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features

Fabrice Heitz, Gwénolé Quellec, Mathieu Lamard, 2018, Patch-MI@MICCAI.

Long-term superpixel tracking using unsupervised learning and multi-step integration

Fabrice Heitz, Gwénolé Quellec, Mathieu Lamard, 2018, 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration

Fabrice Heitz, Pierre-Henri Conze, Vincent Noblet, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Current and Emerging Trends in Medical Image Segmentation With Deep Learning

Vivek Kumar Singh, D. Visvikis, V. Jaouen, 2023, IEEE Transactions on Radiation and Plasma Medical Sciences.

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

Fabrice Heitz, Pierre-Henri Conze, Vincent Noblet, 2017, International Journal of Computer Assisted Radiology and Surgery.

Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization

Ahror Belaid, Kamal Souadih, Pierre-Henri Conze, 2019, Medical & Biological Engineering & Computing.

Cross-modal tumor segmentation using generative blending augmentation and self training

D. Visvikis, J. Bert, N. Boussion, 2023, IEEE transactions on bio-medical engineering.

A new conditional region growing approach for microcalcification delineation in mammograms

Pierre-Henri Conze, Bassel Solaiman, Mohamed Ali Mahjoub, 2021, Medical & Biological Engineering & Computing.

A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images

Basel Solaiman, Mohamed Ali Mahjoub, Pierre-Henri Conze, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Automatic detection of rare pathologies in fundus photographs using few-shot learning

G. Quellec, M. Lamard, B. Cochener, 2020, Medical Image Anal..

Towards population-independent, multi-disease detection in fundus photographs

G. Quellec, M. Lamard, B. Cochener, 2023, Scientific reports.

Objective view synthesis quality assessment

Pierre-Henri Conze, Luce Morin, Philippe Robert, 2012, Electronic Imaging.

Deep Active Learning for Dual-View Mammogram Analysis

Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, 2021, MLMI@MICCAI.

Towards improved breast mass detection using dual-view mammogram matching

Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, 2021, Medical Image Anal..

Adaptive strategy for superpixel-based region-growing image segmentation

Pierre-Henri Conze, Bassel Solaiman, Mohamed Ali Mahjoub, 2017, J. Electronic Imaging.

Automatic detection of rare pathologies in fundus photographs using few-shot learning

G. Quellec, M. Lamard, B. Cochener, 2019, Medical Image Anal..

Automatic detection of multiple pathologies in fundus photographs using spin-off learning

G. Quellec, M. Lamard, B. Cochener, 2019, ArXiv.

Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms

Mathieu Lamard, Béatrice Cochener, Pierre-Henri Conze, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

G. Quellec, M. Lamard, B. Cochener, 2023, OMIA@MICCAI.

Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices

Mohamed Ali Mahjoub, Basel Solaiman, Asma Touil, 2020, 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

V. Jaouen, C. Cheze Le Rest, Pierre-Henri Conze, 2023, Comput. Medical Imaging Graph..

Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease.

Pierre-Henri Conze, G. Andrade-Miranda, Yannick Le Meur, 2024, Computerized Medical Imaging and Graphics.

Cross-dimensional transfer learning in medical image segmentation with deep learning

Pierre-Henri Conze, Douraied BEN SALEM, Ahror Belaid, 2023, Medical Image Anal..

Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention

G. Quellec, M. Lamard, B. Cochener, 2020, Biocybernetics and Biomedical Engineering.

A review of deep learning-based information fusion techniques for multimodal medical image classification

G. Quellec, M. Lamard, B. Cochener, 2024, Comput. Biol. Medicine.

Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders

G. Quellec, M. Lamard, B. Cochener, 2023, Scientific reports.

Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion

R. Da-Ano, Pierre-Henri Conze, G. Andrade-Miranda, 2024, Scientific reports.

Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer

R. Da-Ano, Pierre-Henri Conze, G. Andrade-Miranda, 2024, 2024 IEEE International Symposium on Biomedical Imaging (ISBI).

Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation

J. Tasu, B. Badic, D. Visvikis, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).