Pierre-Henri Conze
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
5
Active years
2012–2024
Best venue rank
A
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. | Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boit, Ramin Tadayoni, Pascale Massin, Batrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenol Quellec, Mathieu Lamard |
| 2024 | MICCAI | Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-widefield Fundus Imaging. | Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Batrice Cochener, Gwenol Quellec, Mostafa El Habib Daho |
| 2023 | MICCAI | Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. | Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boit, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Batrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenol Quellec |
| 2023 | MICCAI | Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. | Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenol Quellec, Mostafa El Habib Daho |
| 2023 | MICCAI | Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. | Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boit, Ramin Tadayoni, Pascale Massin, Batrice Cochener, Ikram Brahim, Gwenol Quellec, Mathieu Lamard |
| 2022 | ICIP | Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. | Gustavo Andrade-Miranda, Vincent Jaouen, Vincent Bourbonne, Franois Lucia, Dimitris Visvikis, Pierre-Henri Conze |
| 2022 | ICIP | Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. | Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze |
| 2022 | MICCAI | Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. | Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Batrice Cochener, Divi Cornec, Gwenol Quellec |
| 2022 | MICCAI | Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. | Mohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze |
| 2022 | MICCAI | Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. | Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren, Niranchana Manivannan, Stephanie Magazzeni, Ramin Tadayoni, Batrice Cochener, Mathieu Lamard, Gwenol Quellec |
| 2022 | MICCAI | Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. | Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenol Quellec, Mostafa El Habib Daho |
| 2022 | MICCAI | Detection of Diabetic Retinopathy Using Longitudinal. | Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Batrice Cochener, Gwenol Quellec, Mathieu Lamard |
| 2021 | MICCAI | Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. | Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valrie Burdin, Bhushan Borotikar |
| 2021 | MICCAI | Deep Active Learning for Dual-View Mammogram Analysis. | Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenol Quellec, Batrice Cochener, Gouenou Coatrieux |
| 2021 | MICCAI | Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. | Yutong Yan, Pierre-Henri Conze, Gwenol Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Batrice Cochener |
| 2020 | ATSIP | Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices. | Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub |
| 2020 | BIBE | A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. | Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub |
| 2020 | MICCAI | Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. | Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenol Quellec, Batrice Cochener, Gouenou Coatrieux |
| 2018 | ATSIP | Long-term superpixel tracking using unsupervised learning and multi-step integration. | Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenol Quellec |
| 2018 | MICCAI | Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. | Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenol Quellec, Vincent Noblet, Fabrice Heitz |
| 2015 | MICCAI | Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. | Pierre-Henri Conze, Franois Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux |
| 2013 | ICIP | Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection. | Pierre-Henri Conze, Toms Crivelli, Philippe Robert, Luce Morin |
| 2012 | BMVC | Multi-step flow fusion: towards accurate and dense correspondences in long video shots. | Toms Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Prez |
| 2012 | ICIP | From optical flow to dense long term correspondences. | Toms Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Prez |