Search Results - "Clément, Michaël"

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation by Coupé, Pierrick, Mansencal, Boris, Clément, Michaël, Giraud, Rémi, Denis de Senneville, Baudouin, Ta, Vinh-Thong, Lepetit, Vincent, Manjon, José V.

“…Abstract Whole brain segmentation of fine-grained structures using deep learning (DL) is a very challenging task since the number of anatomical labels is very…”
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Learning spatial relations and shapes for structural object description and scene recognition by Clément, Michaël, Kurtz, Camille, Wendling, Laurent

“…•We propose a graph-based multilevel descriptor for object recognition.•This descriptor allows to characterize spatial relations and shapes between objects.•An…”
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Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects by Clement, Michael, Poulenard, Adrien, Kurtz, Camille, Wendling, Laurent

“…The analysis of spatial relations between objects in digital images plays a crucial role in various application domains related to pattern recognition and…”
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Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations by Clément, Michaël, Kurtz, Camille, Wendling, Laurent

“…•We address the issue of evaluating complex spatial relations such as the surrounding and enlacement of objects.•We propose a generic fuzzy landscape approach…”
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Brain structure ages—A new biomarker for multi‐disease classification by Nguyen, Huy‐Dung, Clément, Michaël, Mansencal, Boris, Coupé, Pierrick

“…Age is an important variable to describe the expected brain's anatomy status across the normal aging trajectory. The deviation from that normative aging…”
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Multi-scale superpatch matching using dual superpixel descriptors by Giraud, Rémi, Boyer, Merlin, Clément, Michaël

“…•New Dual SuperPatch (DSP) containing intra and inter-superpixel feature information.•New optimized distances and comparison framework between DSP.•New…”
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Towards better interpretable and generalizable AD detection using collective artificial intelligence by Nguyen, Huy-Dung, Clément, Michaël, Mansencal, Boris, Coupé, Pierrick

“…Alzheimer’s Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment…”
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Bags of spatial relations and shapes features for structural object description by Clement, Michael, Kurtz, Camille, Wendling, Laurent

“…We introduce a novel bags-of-features framework based on relative position descriptors, modeling both spatial relations and shape information between the…”
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Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models by Carrillo, Hernan, Clement, Michael, Bugeau, Aurelie, Simo-Serra, Edgar

“…Colorization of line art drawings is an important task in illustration and animation workflows. However, this highly laborious process is mainly done manually,…”
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Deep grading for MRI-based differential diagnosis of Alzheimer’s disease and Frontotemporal dementia by Nguyen, Huy-Dung, Clément, Michaël, Planche, Vincent, Mansencal, Boris, Coupé, Pierrick

“…Alzheimer’s disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in…”
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Local Enlacement Histograms for Historical Drop Caps Style Recognition by Clement, Michael, Coustaty, Mickael, Kurtz, Camille, Wendling, Laurent

“…This article focuses on the specific issue of drop caps image recognition in the context of cultural heritage preservation. Due to their heterogeneity and…”
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Inside the "Black Box" of Sell-Side Financial Analysts by BROWN, LAWRENCE D., CALL, ANDREW C., CLEMENT, MICHAEL B., SHARP, NATHAN Y.

“…Our objective is to penetrate the "black box" of sell-side financial analysts by providing new insights into the inputs analysts use and the incentives they…”
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Managing the narrative: Investor relations officers and corporate disclosure by Brown, Lawrence D., Call, Andrew C., Clement, Michael B., Sharp, Nathan Y.

“…Investor relations officers (IROs) play a central role in corporate communications with Wall Street. We survey 610 IROs at U.S. public companies and conduct 14…”
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Superpixel Segmentation: A Long-Lasting Ill-Posed Problem by Giraud, Rémi, Clément, Michaël

“…For many years, image over-segmentation into superpixels has been essential to computer vision pipelines, by creating homogeneous and identifiable regions of…”
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Deep Spherical Superpixels by Giraud, Rémi, Clément, Michaël

“…Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by…”
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Financial Analyst Characteristics and Herding Behavior in Forecasting by CLEMENT, MICHAEL B., TSE, SENYO Y.

“…This study classifies analysts' earnings forecasts as herding or bold and finds that (1) boldness likelihood increases with the analyst's prior accuracy,…”
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The activities of buy-side analysts and the determinants of their stock recommendations by Brown, Lawrence D., Call, Andrew C., Clement, Michael B., Sharp, Nathan Y.

“…We survey 344 buy-side analysts from 181 investment firms and conduct 16 detailed follow-up interviews to gain insights into the activities of buy-side…”
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Sociopolitical Dynamics in Relations between Top Managers and Security Analysts: Favor Rendering, Reciprocity, and Analyst Stock Recommendations by Westphal, James D., Clement, Michael B.

“…We examine how the disclosure of negative firm information may prompt top executives to render personal and professional favors for security analysts, who may…”
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Understanding analysts' use of stock returns and other analysts' revisions when forecasting earnings by Clement, Michael B., Hales, Jeffrey, Xue, Yanfeng

“…We investigate analysts' use of stock returns and other analysts' forecast revisions in revising their own forecasts after an earnings announcement. We find…”
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Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter? by Clement, Michael B.

“…Prior studies have identified systematic and time persistent differences in analysts’ earnings forecast accuracy, but have not explained why the differences…”
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