Search Results - "Sander, Jörg"

Automatic segmentation with detection of local segmentation failures in cardiac MRI by Sander, Jörg, de Vos, Bob D., Išgum, Ivana

“…Segmentation of cardiac anatomical structures in cardiac magnetic resonance images (CMRI) is a prerequisite for automatic diagnosis and prognosis of…”
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study by Campos, Guilherme O., Zimek, Arthur, Sander, Jörg, Campello, Ricardo J. G. B., Micenková, Barbora, Schubert, Erich, Assent, Ira, Houle, Michael E.

“…The evaluation of unsupervised outlier detection algorithms is a constant challenge in data mining research. Little is known regarding the strengths and…”
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Density‐based clustering by Campello, Ricardo J. G. B., Kröger, Peer, Sander, Jörg, Zimek, Arthur

“…Clustering refers to the task of identifying groups or clusters in a data set. In density‐based clustering, a cluster is a set of data objects spread in the…”
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Mining Statistically Significant Co-location and Segregation Patterns by Barua, Sajib, Sander, Jorg

“…In spatial domains, interaction between features gives rise to two types of interaction patterns: co-location and segregation patterns. Existing approaches to…”
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Multi-Aspect Review-Team Assignment using Latent Research Areas by Mirzaei, Maryam, Sander, Jörg, Stroulia, Eleni

“…Reviewer assignment is an important task in many research-related activities, such as conference organization and grant-proposal adjudication. The goal is to…”
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Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI by Sander, Jörg, de Vos, Bob D., Išgum, Ivana

“…•Unsupervised deep learning semantic interpolation approach that synthesizes new intermediate slices from encoded low-resolution examples.•The method is easy…”
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Density-based clustering by Kriegel, Hans-Peter, Kröger, Peer, Sander, Jörg, Zimek, Arthur

“…Clustering refers to the task of identifying groups or clusters in a data set. In density‐based clustering, a cluster is a set of data objects spread in the…”
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Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations by Sander, Jörg, de Vos, Bob D., Bruns, Steffen, Planken, Nils, Viergever, Max A., Leiner, Tim, Išgum, Ivana

“…Since the onset of computer-aided diagnosis in medical imaging, voxel-based segmentation has emerged as the primary methodology for automatic analysis of left…”
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On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles by Marques, Henrique O., Swersky, Lorne, Sander, Jörg, Campello, Ricardo J. G. B., Zimek, Arthur

“…It has been shown that unsupervised outlier detection methods can be adapted to the one-class classification problem (Janssens and Postma, in: Proceedings of…”
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Biological data annotation via a human-augmenting AI-based labeling system by van der Wal, Douwe, Jhun, Iny, Laklouk, Israa, Nirschl, Jeff, Richer, Lara, Rojansky, Rebecca, Theparee, Talent, Wheeler, Joshua, Sander, Jörg, Feng, Felix, Mohamad, Osama, Savarese, Silvio, Socher, Richard, Esteva, Andre

“…Biology has become a prime area for the deployment of deep learning and artificial intelligence (AI), enabled largely by the massive data sets that the field…”
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A unified view of density-based methods for semi-supervised clustering and classification by Castro Gertrudes, Jadson, Zimek, Arthur, Sander, Jörg, Campello, Ricardo J. G. B.

“…Semi-supervised learning is drawing increasing attention in the era of big data, as the gap between the abundance of cheap, automatically collected unlabeled…”
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Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy by Bourfiss, Mimount, Sander, Jörg, de Vos, Bob D., te Riele, Anneline S. J. M., Asselbergs, Folkert W., Išgum, Ivana, Velthuis, Birgitta K.

“…Background Arrhythmogenic right ventricular cardiomyopathy (ARVC) is diagnosed according to the Task Force Criteria (TFC) in which cardiovascular magnetic…”
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Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications by Sander, Jörg, Martin, Ester, Kriegel, Hans-Peter, Xu, Xiaowei

“…The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish…”
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On strategies for building effective ensembles of relative clustering validity criteria by Jaskowiak, Pablo A., Moulavi, Davoud, Furtado, Antonio C. S., Campello, Ricardo J. G. B., Zimek, Arthur, Sander, Jörg

“…Evaluation and validation are essential tasks for achieving meaningful clustering results. Relative validity criteria are measures usually employed in practice…”
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PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data by Botea, Viorica, Mallett, Daniel, Nascimento, Mario A., Sander, Jörg

“…Despite pressing need, current relational database management systems (RDBMS) support for spatio-temporal data is limited and inadequate, and most existing…”
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Combining gene expression and interaction network data to improve kidney lesion score prediction by Moulavi, Davoud, Hajiloo, Mohsen, Sander, Jorg, Halloran, Philip F, Greiner, Russell

“…Current method of diagnosing kidney rejection based on histopathology of renal biopsies in form of lesion scores is error-prone. Researchers use gene…”
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A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data by Campello, R. J. G. B., Moulavi, D., Sander, J.

“…In [1], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to…”
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Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations by Jianjun Zhou, Sander, Jorg, Zhipeng Cai, Lusheng Wang, Guohui Lin

“…Modern biological applications usually involve the similarity comparison between two objects, which is often computationally very expensive, such as whole…”
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On the Evaluation of Outlier Detection and One-Class Classification Methods by Swersky, Lorne, Marques, Henrique O., Sander, Jörg, Campello, Ricardo J. G. B., Zimek, Arthur

“…It has been shown that unsupervised outlier detection methods can be adapted to the one-class classification problem. In this paper, we focus on the comparison…”
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Development of the Juliá−Colonna Asymmetric Epoxidation Reaction:  Part 1. Preparation and Activation of the Polyleucine Catalyst by Baars, Sylvia, Drauz, Karl-Heinz, Krimmer, Hans-Peter, Roberts, Stanley M., Sander, Jörg, Skidmore, John, Zanardi, Giampaolo

“…The preparation of silica-supported poly-l-leucine has been studied under a variety of reaction conditions leading to an efficient procedure for the…”
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