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Medical image segmentation have drawn massive attention as it is important in biomedical image analysis. Good segmentation results can assist doctors with their judgement and further improve patients' experience. Among many available…

Image and Video Processing · Electrical Eng. & Systems 2021-09-20 Youyang Sha , Yonghong Zhang , Xuquan Ji , Lei Hu

Patients associated with multiple co-occurring health conditions often face aggravated complications and less favorable outcomes. Co-occurring conditions are especially prevalent among individuals suffering from kidney disease, an…

Machine Learning · Computer Science 2021-09-21 Moumita Bhattacharya , Claudine Jurkovitz , Hagit Shatkay

We study a simple exchange market, introduced by Gourv\'{e}s, Lesca and Wilczynski (IJCAI-17), where every agent initially holds a single object. The agents have preferences over the objects, and two agents may swap their objects if they…

Data Structures and Algorithms · Computer Science 2019-05-13 Matthias Bentert , Jiehua Chen , Vincent Froese , Gerhard J. Woeginger

Global demand for donated blood far exceeds supply, and unmet need is greatest in low- and middle-income countries; experts suggest that large-scale coordination is necessary to alleviate demand. Using the Facebook Blood Donation tool, we…

Charge transfer is considered in systems composed of a donor, an acceptor and bridge sites of (AT) nucleotide pairs. For a bridge consisting of 180 (AT) pairs, three cases are dealt with: a uniform case, when all the nucleotides in each…

Biological Physics · Physics 2013-04-22 N. S. Fialko , V. D. Lakhno

Chronic kidney disease (CKD) has a poor prognosis due to excessive risk factors and comorbidities associated with it. The early detection of CKD faces challenges of insufficient medical histories of positive patients and complicated risk…

Machine Learning · Computer Science 2020-12-08 Yu Wang , Ziqiao Guan , Wei Hou , Fusheng Wang

We introduce an assisted exchange model (AEM) on a one dimensional periodic lattice with (K+1) different species of hard core particles, where the exchange rate depends on the pair of particles which undergo exchange and their immediate…

Statistical Mechanics · Physics 2018-12-26 Amit Kumar Chatterjee , P. K. Mohanty

Kernel based approximation offers versatile tools for high-dimensional approximation, which can especially be leveraged for surrogate modeling. For this purpose, both "knot insertion" and "knot removal" approaches aim at choosing a suitable…

Machine Learning · Computer Science 2024-05-01 Tizian Wenzel , Armin Iske

Five year post-transplant survival rate is an important indicator on quality of care delivered by kidney transplant centers in the United States. To provide a fair assessment of each transplant center, an effect that represents the…

Applications · Statistics 2017-03-13 Lanfeng Pan , Yehua Li , Kevin He , Yanming Li , Yi Li

The segmentation of kidney layer structures, including cortex, outer stripe, inner stripe, and inner medulla within human kidney whole slide images (WSI) plays an essential role in automated image analysis in renal pathology. However, the…

Image and Video Processing · Electrical Eng. & Systems 2023-09-07 Muhao Liu , Chenyang Qi , Shunxing Bao , Quan Liu , Ruining Deng , Yu Wang , Shilin Zhao , Haichun Yang , Yuankai Huo

The stochastic matching problem deals with finding a maximum matching in a graph whose edges are unknown but can be accessed via queries. This is a special case of stochastic $k$-set packing, where the problem is to find a maximum packing…

Data Structures and Algorithms · Computer Science 2015-04-30 Avrim Blum , John P. Dickerson , Nika Haghtalab , Ariel D. Procaccia , Tuomas Sandholm , Ankit Sharma

Applications such as employees sharing office spaces over a workweek can be modeled as problems where agents are matched to resources over multiple rounds. Agents' requirements limit the set of compatible resources and the rounds in which…

Artificial Intelligence · Computer Science 2022-12-01 Yohai Trabelsi , Abhijin Adiga , Sarit Kraus , S. S. Ravi , Daniel J. Rosenkrantz

One cannot make truly fair decisions using integer linear programs unless one controls the selection probabilities of the (possibly many) optimal solutions. For this purpose, we propose a unified framework when binary decision variables…

Computer Science and Game Theory · Computer Science 2024-04-10 Tom Demeulemeester , Dries Goossens , Ben Hermans , Roel Leus

We propose a novel statistical model for sparse networks with overlapping community structure. The model is based on representing the graph as an exchangeable point process, and naturally generalizes existing probabilistic models with…

Methodology · Statistics 2025-02-06 Adrien Todeschini , Xenia Miscouridou , François Caron

Data cleaning consumes about 80% of the time spent on data analysis for clinical research projects. This is a much bigger problem in the era of big data and machine learning in the field of medicine where large volumes of data are being…

Medical Physics · Physics 2018-01-03 Timothy Rozario , Troy Long , Mingli Chen , Weiguo Lu , Steve Jiang

Auctions are widely used in exchanges to match buy and sell requests. Once the buyers and sellers place their requests, the exchange determines how these requests are to be matched. The two most popular objectives used while determining the…

Data Structures and Algorithms · Computer Science 2024-03-06 Mohit Garg , Suneel Sarswat

We propose a novel kinetic exchange model differing from previous ones in two main aspects. First, the basic dynamics is modified in order to represent economies where immediate wealth exchanges are carried out, instead of reshufflings or…

General Finance · Quantitative Finance 2015-05-07 Els Heinsalu , Marco Patriarca

Consider a connected network of n nodes that all wish to recover k desired packets. Each node begins with a subset of the desired packets and exchanges coded packets with its neighbors. This paper provides necessary and sufficient…

Information Theory · Computer Science 2012-03-16 Thomas A. Courtade , Richard D. Wesel

The use of high-dimensional data for targeted therapeutic interventions requires new ways to characterize the heterogeneity observed across subgroups of a specific population. In particular, models for partially exchangeable data are needed…

Methodology · Statistics 2020-08-18 Francesco Denti , Federico Camerlenghi , Michele Guindani , Antonietta Mira

Organ transplants can improve the life expectancy and quality of life for the recipient but carries the risk of serious post-operative complications, such as septic shock and organ rejection. The probability of a successful transplant…

Machine Learning · Computer Science 2016-11-15 Jinsung Yoon , Ahmed M. Alaa , Martin Cadeiras , Mihaela van der Schaar
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