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arXiv 2021年

作者： Reinke, Annika Tizabi, Minu D. Sudre, Carole H. Eisenmann, Matthias Rädsch, Tim Baumgartner, Michael Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Bankhead, Peter Benis, Arriel Blaschko, Matthew Buettner, Florian Cardoso, M. Jorge Chen, Jianxu Cheplygina, Veronika Christodoulou, Evangelia Cimini, Beth A. Collins, Gary S. Engelhardt, Sandy Farahani, Keyvan Ferrer, Luciana Galdran, Adrian van Ginneken, Bram Glocker, Ben Godau, Patrick Haase, Robert Hamprecht, Fred Hashimoto, Daniel A. Heckmann-Nötzel, Doreen Hirsch, Peter Hoffman, Michael M. Huisman, Merel Isensee, Fabian Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kavur, A. Emre Kenngott, Hannes Kleesiek, Jens Kleppe, Andreas Koehler, Sven Kofler, Florian Kopp-Schneider, Annette Kooi, Thijs Kozubek, Michal Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moher, David Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Noyan, M. Alican Petersen, Jens Polat, Gorkem Rafelski, Susanne M. Rajpoot, Nasir Reyes, Mauricio Rieke, Nicola Riegler, Michael A. Rivaz, Hassan Saez-Rodriguez, Julio Sánchez, Clara I. Schroeter, Julien Saha, Anindo Selver, M. Alper Sharan, Lalith Shetty, Shravya Smeden, Maarten V.A.N. Stieltjes, Bram Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. Calster, Ben V.A.N. Varoquaux, Gaël Wiesenfarth, Manuel Yaniv, Ziv R. Jäger, Paul Maier-Hein, Lena Division of Intelligent Medical Systems and HI Helmholtz Imaging Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Intelligent Medical Systems Heidelberg Germany NCT Heidelberg DKFZ University Medical Center Heidelberg Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Division of Medical Image Computing Heidelberg Germany Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montréal Canada Division of Computational Pathology Dept of Pathology & Laboratory Medicine Indiana University School of Medicine IU Health Information and Translational Sciences Building Indianapolis United States University of Pennsylvania Richards Medical Research Laboratories FL7 PhiladelphiaPA United States Institute of Genetics and Cancer University of Edinburgh Edinburgh United Kingdom Department of Digital Medical Technologies Holon Institute of Technology Holon Israel European Federation for Medical Informatics Le Mont-sur-Lausanne Switzerland Center for Processing Speech and Images Department of Electrical Engineering KU Leuven Kasteelpark Arenberg 10 - box 2441 Leuven3001 Belgium Frankfurt/Mainz DKFZ UCT Frankfurt-Marburg Germany Heidelberg Germany Goethe University Frankfurt Department of Medicine Germany Goethe University Frankfurt Department of Informatics Germany Frankfurt Cancer Insititute Germany Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Dortmund Germany Department of Computer Science IT University of Copenhagen Copenhagen Denmark Imaging Platform Broad Institute of MIT and Harvard CambridgeMA United States Centre for St

While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation. Performance metrics are particularly key for meaningful, objective, and transparent performance assessment and validation of the used automatic algorithms, but relatively little attention has been given to the practical pitfalls when using specific metrics for a given image analysis task. These are typically related to (1) the disregard of inherent metric properties, such as the behaviour in the presence of class imbalance or small target structures, (2) the disregard of inherent data set properties, such as the non-independence of the test cases, and (3) the disregard of the actual biomedical domain interest that the metrics should reflect. This living dynamically document has the purpose to illustrate important limitations of performance metrics commonly applied in the field of image analysis. In this context, it focuses on biomedical image analysis problems that can be phrased as image-level classification, semantic segmentation, instance segmentation, or object detection task. The current version is based on a Delphi process on metrics conducted by an international consortium of image analysis experts from more than 60 institutions worldwide. © 2021, CC BY.

关键词： Medical imaging

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Understanding of collective atom phase control in modified photon echoes for a near perfect, storage time extended quantum memory

arXiv

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arXiv 2017年

作者： Rahmatullah Ham, B.S. Center for Photon Information Processing School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju61005 Korea Republic of Quantum Optics Lab. Department of Physics COMSATS Institute of Information Technology Islamabad Pakistan

A near perfect, storage time-extended photon echo-based quantum memory protocol has been analyzed by solving the Maxwell-Bloch equations for a backward scheme in a three-level system. The backward photon echo scheme is combined with a controlled coherence conversion process via control Rabi flopping to a third state, where the control Rabi flopping collectively shifts the phase of the ensemble coherence. The propagation direction of photon echoes is coherently determined by the phase matching condition between the data (quantum) and the control (classical) pulses. Herein we discuss the classical controllab.lity of a quantum state for both phase and propagation direction by manipulating the control pulses in both single and double rephasing photon echo schemes of a three-level system. Compared with their well-understood use for two-level photon echoes, the Maxwell-Bloch equations to a three-level system have a critical limitation regarding the phase change when interacted with an arbitrary control pulse area. Copyright © 2017, The Authors. All rights reserved.

关键词： Photons

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Structured total least squares based internal delay estimation for distributed microphone auto-localization

Structured total least squares based internal delay estimati...

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International Workshop on Acoustic signal Enhancement (IWAENC)

作者： Jie Zhang Richard C. Hendriks Richard Heusdens Signal and Information Processing Lab. Delft University of Technology Netherlands

ISBN: (纸本)9781509020089

Auto-localization in wireless acoustic sensor networks (WASNs) can be achieved by time-of-arrival (TOA) measurements between sensors and sources. Most existing approaches are centralized, and they require a fusion center to communicate with other nodes. In practice, WASN topologies are time-varying with nodes joining or leaving the network, which poses scalab.lity issues for such algorithms. In particular, for an increasing number of nodes, the total transmission power required to reach the fusion center increases. Therefore, in order to facilitate scalab.lity, we present a structured total least squares (STLS) based internal delay estimation for distributed microphone localization where the internal delay refers to the time taken for a source signal reaching a sensor to that it is registered as received by the capture device. Each node only needs to communicate with its neighbors instead of with a remote host, and they run an STLS algorithm locally to estimate local internal delays and positions (i.e., its own and those of its neighbors), such that the original centralized computation is divided into many subproblems. Experiments demonstrate that the decentralized internal delay estimation converges to the centralized results with increasing signal-to-noise ratio (SNR). More importantly, less computational complexity and transmission power are required to obtain comparable localization accuracy.

关键词： Delay estimation Microphones Receivers Network topology signal to noise ratio Optimization

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Learning the Best-Conditioned Overcomplete Adaptive Transform

Learning the Best-Conditioned Overcomplete Adaptive Transfor...

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2016 IEEE 13th International Conference on signal processing（ICSP2016）

作者： Cheng Pan Xiao Li Tao Hong Zhejiang Key Lab. for Signal Processing Zhejiang University of Technology

The sparsity of signals and images in a certain dictionary domain has been explored in the past several ***, a newly developed transform model is proved to be powerful. We propose a new framework for overcomplete transform learning, searching the optimal transform within tight frame set, which is much simpler than the existing one. A closed form solution is derived to update such a transform. Experiments demonstrate that the proposed algorithm outperforms the existing ones in terms of recovery of reference transform for synthetic data and denoised PSNR for image denoising.

关键词： Compressed sensing sparse representation adaptive transform thresholding image denoising

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Corpus fusion for emotion classification 26

Corpus fusion for emotion classification

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26th International Conference on Computational Linguistics, COLING 2016

作者： Zhu, Suyang Li, Shoushan Chen, Ying Zhou, Guodong Natural Language Processing Lab. School of Computer Science and Technology Soochow University China College of Information and Electrical Engineering China Agricultural University China

ISBN: (纸本)9784879747020

Machine learning-based methods have obtained great progress on emotion classification. However, in most previous studies, the models are learned based on a single corpus which often suffers from insufficient lab.led data. In this paper, we propose a corpus fusion approach to address emotion classification across two corpora which use different emotion taxonomies. The objective of this approach is to utilize the annotated data from one corpus to help the emotion classification on another corpus. An Integer Linear Programming (ILP) optimization is proposed to refine the classification results. Empirical studies show the effectiveness of the proposed approach to corpus fusion for emotion classification. © 1963-2018 ACL.

关键词： Integer programming

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Glossokinetic Potentials for a Tongue-Machine Interface: How Can We Trace Tongue Movements with Electrodes?

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IEEE Systems, Man and Cybernetics Magazine 2016年第1期2卷 6-13页

作者： Nam, Yunjun Koo, Bonkon Cichocki, Andrzej Choi, Seungjin Lab. for Advanced Brain Signal Processing RIKEN Wako Saitama351-0198 Japan School of Interdisciplinary Bioscience and Bioengineering POSTECH Pohang Gyeongbuk Korea Republic of Brain Science Institutde RIKEN Wako Saitama Japan Department of Computer Science and Engineering POSTECH Pohang Gyeongbuk Korea Republic of

Glossokinetic potentials (GKPs) refer to electrical responses involving tongue movements that are measured at electrodes placed on the scalp when the tip of the tongue touches tissue inside the mouth. GKP has been considered an electroencephalography (EEG) artifact that is removed to minimize the interference with signals from a cerebral region for successful EEG analysis. In this article, we emphasize a different side of GKP where we analyze its spatial patterns to trace tongue movements developing tongue-machine interfaces. We begin with a brief overview of GKP and its spatial patterns and then describe its potential applications to man-machine interfaces. First, we describe the spatial pattern of GKP for horizontal tongue movements and explain how it can be utilized to identify the position of the tongue. We also introduce a tongue-rudder system where this technique enables smooth control of an electric wheelchair. Then we describe GKP patterns for vertical and frontal tongue movements that are closely related to speech production. Based on this pattern, we discuss its application to silent speech recognition, which allows speech communication without using a sound. © 2015 IEEE.

关键词： Electroencephalography

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5G ENTERING INTO A NEW ERA

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China Communications 2017年第12期14卷 I0002-I0004页

作者： Feifei Gao Changle Li Jun Fang Kaizhi Huang Zhi Quan Chengwen Xing Jianhua Zhang Zhongshan Zhang Liqiang Zhao Yulong Zou Department of Automation Tsinqhua UniversityBeiiingChina the State Key Laboratory of Integrated Services Networks Xidian University china communications ieee communications magazine ieee signal processing letters national digital switching system engineering&technological research center the college of information engineering shenzhen university the school of information and electronics beijing institute of technology bupt itu-r imt-2020 channel model ieee comm the school of computer and communication engineering in the university of science and technology beijing(ustb) state key lab.of integrated ser vice networks xidian university the nanjing university of posts and telecommunications(nupt)

The ever increasing wireless data services, such asimaging, video, audio, multimedia, etc., have de-mands for the very high speed wireless communicationsand network, which are unfortunately a bottleneck whencombining with the wireline core network. Users＇ arenow expecting high quality of experience with low-costdevices, ubiquitous connectivity, energy efficiency, highreliability, or even ultra-low latency if a vehicle terminalis applied.

关键词： 5G ENTERING A NEW ERA

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Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach

Improved temporal resolution of twist imaging using annihila...

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IEEE International Symposium on Biomedical Imaging

作者： Eun Ju Cha Kyong Hwan Jin Dong-wook Lee Eung Yeop Kim Seung Hong Choi Jong Chul Ye Bio Imaging and Signal Processing Lab. Korea Advanced Institute of Science and Technology Daejeon Daejeon KR Bio Imaging and Signal Processing Lab. KAIST Gachon University Gil Medical Center Seoul National University College of Medicine

ISBN: (纸本)9781479923519

Dynamic contrast enhanced (DCE) MRI is one of the important tools for diagnosis. In particular, time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used thanks to the improved temporal and spatial resolution. However, the temporal resolution of TWIST is not a true one, because the periphery of k-space data from several time frames should be shared to produce one image. To address this issue, here we proposed a high performance low-rank k-space interpolation method that significantly improves the temporal resolution without sacrificing the image quality. The main idea of the proposed method is originated from the state-of-art MR reconstruction methods using annihilating filter-based low rank Hankel matrix approach (ALOHA). Experimental results using in-vivo data showed significantly improved temporal resolution compared with the standard reconstruction method.

关键词： Image reconstruction Spatial resolution Standards Magnetic resonance imaging Interpolation

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A hierarchical image matting model for blood vessel segmentation in fundus images

arXiv

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arXiv 2017年

作者： Fan, Zhun Lu, Jiewei Li, Wenji Wei, Caimin Huang, Han Cai, Xinye Chen, Xinjian Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shan'tou515063 China Department of Mathematics Shantou University Shan'tou515063 China School of Software Engineering South China University of Technology Guang'zhou510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiang'su210016 China Medical Image Processing and Analysis Lab School of Electronics and Information Engineering Soochow University Su'zhou215006 China

In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy utilizing the continuity and extendibility of retinal blood vessels is integrated into the image matting model for blood vessel segmentation. Normally the matting models require the user specified trimap, which separates the input image into three regions manually: the foreground, background and unknown regions. However, since creating a user specified trimap is a tedious and time-consuming task, region features of blood vessels are used to generate the trimap automatically in this paper. The proposed model has low computational complexity and outperforms many other state-of-art supervised and unsupervised methods in terms of accuracy, which achieves a vessel segmentation accuracy of 96.0%, 95.7% and 95.1% in an average time of 10.72s, 15.74s and 50.71s on images from three publicly availab.e fundus image datasets DRIVE, STARE, and CHASE_DB1, respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Blood vessels

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On the importance of harmonic phase modification for improved speech signal reconstruction

On the importance of harmonic phase modification for improve...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Anna Maly Pejman Mowlaee Intelligent Acoustic Solutions JOANNEUM RESEARCH Austria Signal Processing and Speech Communication Lab. Graz University of Technology Austria

ISBN: (纸本)9781479999897

Conventional single-channel speech enhancement is mainly focused on modifying the noisy short-time Fourier transform amplitude spectrum while for signal reconstruction the noisy phase is used. Recent advances demonstrate the positive improvements in speech enhancement when the noisy phase is replaced with an estimated clean phase for signal reconstruction. In this paper, we study the impact of the linear phase and unwrapped phase components provided by harmonic phase decomposition on the speech quality at signal reconstruction. We present objective and subjective results comparing the proposed harmonic phase modification with other phase estimation methods. Our results show that enhancement of decomposed phase parts suffices for improved reconstruction in speech enhancement.

关键词： Speech Harmonic analysis Speech enhancement Noise measurement signal reconstruction signal to noise ratio Frequency estimation

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