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ORCIDNicolas Loménie
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2020 – today
- 2024
[c27]Amine Marzouki, Zhuxian Guo, Qinghe Zeng, Camille Kurtz, Nicolas Loménie:
Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging Through Data-Centric Strategies. ISBI 2024: 1-4- [i6]Amine Marzouki, Zhuxian Guo, Qinghe Zeng, Camille Kurtz, Nicolas Loménie:
Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies. CoRR abs/2405.13710 (2024) - [i5]Zhuxian Guo, Amine Marzouki, Jean-François Emile, Henning Müller, Camille Kurtz, Nicolas Loménie:
Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides. CoRR abs/2407.16464 (2024) - 2023
- [c26]Zhuxian Guo, Qitong Wang, Henning Müller
, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma. ISBI 2023: 1-5 - [i4]Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma. CoRR abs/2307.05800 (2023) - 2022
- [c25]Benjamin Chamand, Olivier Risser-Maroix, Camille Kurtz, Philippe Joly, Nicolas Loménie:
Fine-Tune Your Classifier: Finding Correlations with Temperature. ICIP 2022: 2766-2770 - [c24]Qinghe Zeng, Stefano Caruso, Julien Calderaro, Nicolas Loménie, Christophe Klein:
Prediction of Immune and Stromal Cell Population Abundance from Hepatocellular Carcinoma Whole Slide Images Using Weakly Supervised Learning. AIIIMA/MIABID@MICCAI 2022: 143-153 - [c23]Zijie Shen, Jean Denis Laredo, Nicolas Loménie, Christine Chappard:
Deep Learning on Knee CT Scans from Osteoarthritis Patients for Joint Space Assessment. SITIS 2022: 348-353 - [c22]Olivier Risser-Maroix, Camille Kurtz, Nicolas Loménie:
Discovering Respects for Visual Similarity. S+SSPR 2022: 132-141 - [i3]Olivier Risser-Maroix, Amine Marzouki, Hala Djeghim, Camille Kurtz, Nicolas Loménie:
Learning an Adaptation Function to Assess Image Visual Similarities. CoRR abs/2206.01417 (2022) - [i2]Benjamin Chamand, Olivier Risser-Maroix, Camille Kurtz, Philippe Joly, Nicolas Loménie:
Fine-tune your Classifier: Finding Correlations With Temperature. CoRR abs/2210.09715 (2022) - 2021
- [c21]Olivier Risser-Maroix, Camille Kurtz, Nicolas Loménie:
Learning an Adaptation Function to Assess Image Visual Similarities. ICIP 2021: 2498-2502
2010 – 2019
- 2018
- [c20]Tiédé Armand Djiro, Camille Kurtz, Nicolas Loménie:
Assessment of Anti-tumor Immune Response in Colorectal Carcinomas from Whole Slide Images. ICIAR 2018: 579-588 - 2016
- [j5]Ahlem Othmani, Cansen Jiang, Nicolas Loménie, Jean-Marie Favreau, Alexandre Piboule, Lew Fock Chong Lew Yan Voon:
A novel Computer-Aided Tree Species Identification method based on Burst Wind Segmentation of 3D bark textures. Mach. Vis. Appl. 27(5): 751-766 (2016) - 2014
- [c19]Shijian Lu, Byung-Uck Kim, Nicolas Loménie, Joo-Hwee Lim, Jianfei Cai:
Search Guided Saliency. ACCV Workshops (1) 2014: 443-456 - 2013
- [c18]Shijian Lu, Byung-Uck Kim, Nicolas Loménie, Joo-Hwee Lim:
Adaptive picture-in-picture technology based on visual saliency. APSIPA 2013: 1-4 - [c17]Nicolas Loménie:
Visual Point Set Processing with Lattice Structures: Application to Parsimonious Representations of Digital Histopathology Images. GSI 2013: 837-844 - [c16]Ahlem Othmani, Nicolas Loménie, Alexandre Piboule, Christophe Stolz, Lew Fock Chong Lew Yan Voon:
Region-based segmentation on depth images from a 3D reference surface for tree species recognition. ICIP 2013: 3399-3402 - [c15]Ahlem Othmani, Alexandre Piboule, Oscar Dalmau Cedeño, Nicolas Loménie, Said Mokrani, Lew Fock Chong Lew Yan Voon:
Tree Species Classification Based on 3D Bark Texture Analysis. PSIVT 2013: 279-289 - 2012
- [j4]Nicolas Loménie, Daniel Racoceanu:
Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis. Pattern Recognit. 45(8): 2894-2911 (2012) - [c14]Stephane Ulysse Rigaud, Nicolas Loménie, Shvetha Sankaran, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu:
Neurosphere fate prediction: An analysis-synthesis approach for feature extraction. IJCNN 2012: 1-7 - 2011
- [j3]Chao-Hui Huang, Antoine Veillard, Ludovic Roux, Nicolas Loménie, Daniel Racoceanu:
Time-efficient sparse analysis of histopathological whole slide images. Comput. Medical Imaging Graph. 35(7-8): 579-591 (2011) - [c13]Stephane Ulysse Rigaud, Nicolas Loménie:
Neural stem cell tracking with phase contrast video microscopy. Image Processing 2011: 796230 - 2010
- [j2]Güray Erus, Nicolas Loménie:
How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images? Pattern Recognit. Lett. 31(10): 1109-1119 (2010) - [c12]Antoine Veillard, Nicolas Loménie, Daniel Racoceanu:
An Exploration Scheme for Large Images: Application to Breast Cancer Grading. ICPR 2010: 3472-3475 - [c11]Nicolas Loménie:
Reasoning with spatial relations over high-content images. IJCNN 2010: 1-7 - [c10]Ahlem Othmani, Carole Meziat, Nicolas Loménie:
Ontology-Driven Image Analysis for Histopathological Images. ISVC (1) 2010: 1-12
2000 – 2009
- 2008
- [j1]Nicolas Loménie, Georges Stamon:
Morphological mesh filtering and alpha-objects. Pattern Recognit. Lett. 29(10): 1571-1579 (2008) - [c9]Güray Erus, Nicolas Loménie:
Geometrical Primitives for the Classification of Images Containing Structural Cartographic Objects. CRV 2008: 221-227 - [e1]Nicole Vincent, Nicolas Loménie, Rémy Mullot:
Les Relations Spatiales : de la modélisation à la mise en oeuvre. RNTI E-14, Cépaduès-Éditions 2008, ISBN 2-85428-702-9 [contents] - 2007
- [c8]Güray Erus, Nicolas Loménie:
Classification of Structural Cartographic Objects Using Edge-Based Features. ISVC (1) 2007: 385-392 - [i1]Güray Erus, Nicolas Loménie:
Extraction of cartographic objects in high resolution satellite images for object model generation. CoRR abs/cs/0703053 (2007) - 2005
- [c7]Güray Erus, Nicolas Loménie:
Apprentissage automatique des modèles structurels d'objets cartographiques. EGC (Ateliers) 2005: 349-354 - [c6]Güray Erus, Nicolas Loménie:
Apprentissage automatique des modèles structurels d'objets cartographiques. EGC 2005: 445-450 - [c5]Güray Erus, Nicolas Loménie:
Automatic Learning of Structural Models of Cartographic Objects. GbRPR 2005: 273-280 - 2004
- [c4]Nicolas Loménie:
A Generic Methodology for Partitioning Unorganised 3D Point Clouds for Robotic Vision. CRV 2004: 64-71 - 2003
- [c3]Roger Trias-Sanz, Nicolas Loménie:
Automatic Bridge Detection in High-Resolution Satellite Images. ICVS 2003: 172-181 - [c2]Nicolas Loménie, J. Barbeau, Roger Trias-Sanz:
Integrating textural and geometric information for an automatic bridge detection system. IGARSS 2003: 3952-3954 - 2001
- [b1]Nicolas Loménie:
Interprétation de nuages de points : application à la modélisaion d'environnements 3D en robotique mobile. (Point Set Interpretation : application to 3D environment modelling in mobile robotics). Paris Descartes University, France, 2001 - 2000
- [c1]Nicolas Loménie, Georges Stamon, Laurent Gallo, Nicole Cambou:
Morphological Operations on Delaunay Triangulations. ICPR 2000: 3556-3559
Coauthor Index
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