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leading the cancer in several is the cancer-related years. past of Lung deaths cause
Lung cancer is the leading cause of cancer-related deaths in the past several years.
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automated networks (CNNs). in neural deep classification State-of-the-art approaches nodule convolutional lung use
State-of-the-art approaches in automated lung nodule classification use deep convolutional neural networks (CNNs).
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number large samples a However, these training generalize well. of require to networks
However, these networks require a large number of training samples to generalize well.
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alternative investigates as an of use capsule (CapsNets) CNNs. networks This paper to the
This paper investigates the use of capsule networks (CapsNets) as an alternative to CNNs.
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significantly show training We CNNs that CapsNets when is the of outperforms small. samples number
We show that CapsNets significantly outperforms CNNs when the number of training samples is small.
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The real-world method validated problems. on several is proposed Radiomics
The proposed method is validated on several real-world Radiomics problems.
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Another is of GANs application e.g. image-to-image translations,
Another application of GANs is image-to-image translations, e.g.
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and We supervised evaluate model. a pure generator models; CycleGAN modification two a also of
We also evaluate two supervised models; a modification of CycleGAN and a pure generator model.
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there Therefore, the pressing arterial of is understand a to delamination. micromechanical need mechanisms
Therefore, there is a pressing need to understand the micromechanical mechanisms of arterial delamination.
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this (e.g. The failure of objective study investigate to mechanisms various was
The objective of this study was to investigate various failure mechanisms (e.g.
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of interfacial arterial for collagen responsible fibers) delamination. failure
failure of collagen fibers) responsible for arterial interfacial delamination.
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tests a scanning were microscope. performed tensile of the in electron on In-situ micro-tester fibers
In-situ tensile tests of fibers were performed on a micro-tester in the scanning electron microscope.
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elegant provides paper complete. of explicit proof algebraic matrix, that construction an the This making
This paper provides an elegant explicit construction of that matrix, making the algebraic proof complete.
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constructive thus proof in included is proposed being very The for textbooks. here algebraic suitable
The constructive algebraic proof proposed here is thus very suitable for being included in textbooks.
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more provides Therefore, preserving. HpLapR proposed to local potential the the structure exploiting
Therefore, the proposed HpLapR provides more potential to exploiting the local structure preserving.
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to We remote regression and recognition. image apply for the logistic HpLapR conduct implementations sensing
We apply HpLapR to logistic regression and conduct the implementations for remote sensing image recognition.
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HpLapR. experimental results the demonstrate of superiority The the proposed
The experimental results demonstrate the superiority of the proposed HpLapR.
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performance. correspondences challenge registration inaccurate However, the
However, inaccurate correspondences challenge the registration performance.
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estimate optimal correspondences minimize To for influence, PointNet. using their we weights
To minimize their influence, we estimate optimal weights for correspondences using PointNet.
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We the to minimize the criterion directly registration train error. with the network
We train the network directly with the criterion to minimize the registration error.
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for this method. justification We theoretical provide
We provide theoretical justification for this method.
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problem. is Object a detection solving to the by Tracking approach Tracking common Multiple
Tracking by detection is a common approach to solving the Multiple Object Tracking problem.
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approaches. evaluation, competitive online, real-time among achieves results especially in This method
This method achieves competitive results in evaluation, especially among online, real-time approaches.
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and feedbacks by Eco-evolutionary can formalisms. demographic coupling be modelled evolutionary readily
Eco-evolutionary feedbacks can be readily modelled by coupling demographic and evolutionary formalisms.
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avenues. of integrative future approaches suggest modelling overview We provide and an these
We provide an overview of these approaches and suggest future integrative modelling avenues.
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our 'Spatio-Temporal name novel Channel Correlation' (STC). We block
We name our novel block 'Spatio-Temporal Channel Correlation' (STC).
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acceptance as so degrees We accommodate for ADFs arguments. the to arbitrary generalize further
We further generalize ADFs so as to accommodate arbitrary acceptance degrees for the arguments.
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problems related complexity for We results present to weighted also ADFs.
We also present complexity results for problems related to weighted ADFs.
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can theorems. physics unique geometrical well Such interpreted that be using filtering understood possesses properties
Such filtering possesses unique geometrical properties that can be interpreted using well understood physics theorems.
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social involves Successful processes. and both cognitive explanation
Successful explanation involves both cognitive and social processes.
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this of neurons. to on process efforts the Current automate focus mainly segmentation
Current efforts to automate this process focus mainly on the segmentation of neurons.
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network and cross-validated SPHERE_RGBD trained available on a The + publicly is Inertial_calorie. dataset,
The network is trained and cross-validated on a publicly available dataset, SPHERE_RGBD + Inertial_calorie.
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achieve proposed was and shown to The optimization-based substantially method state-of-the-art results. outperform baselines
The proposed method was shown to substantially outperform optimization-based baselines and achieve state-of-the-art results.
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accuracy networks, wider and using deeper be rapidly. can improved By network
By using deeper and wider networks, network accuracy can be improved rapidly.
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set of attention. problem selecting received the The images of much has
The problem of selecting the set of images has received much attention.
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in they identification the walk on based (i.e. People video way
People identification in video based on the way they walk (i.e.
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relevant vision task is using computer gait) a a in non-invasive approach.
gait) is a relevant task in computer vision using a non-invasive approach.
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each at relay In this received is signal and forwarded. structure, demodulated
In this structure, received signal at each relay is demodulated and forwarded.
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are Bit system and (BER) Rate as Error performance Probability (P_out) criteria. investigated Outage
Bit Error Rate (BER) and Outage Probability (P_out) are investigated as system performance criteria.
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at atmospheric The proposed strong performance structure shows moderate and regimes. independent turbulence
The proposed structure shows independent performance at moderate and strong atmospheric turbulence regimes.
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the side protection DC One a multi-terminal against major faults. is of challenges in VSCHVDC
One of the major challenges in a multi-terminal VSCHVDC is protection against DC side faults.
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(DMR) Redundancy for is fault decision of scenario. Modular making Dual utilized technique a The
The Dual Modular Redundancy (DMR) technique is utilized for decision making of a fault scenario.
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dual other. result a when contradicts uses one system voting This the
This uses a dual voting system when one result contradicts the other.
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combined for change considered threshold breaker the operation. with directional Current is
Current threshold combined with directional change is considered for the breaker operation.
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proposed Mignotte has [M. a the model Mignotte. problem for non-convex
Mignotte has proposed a non-convex model for the problem [M. Mignotte.
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edge-histogram specification image for model energy-based problem. An the
An energy-based model for the image edge-histogram specification problem.
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Furthermore, constraints on we applications. additional include our model based in different
Furthermore, we include additional constraints in our model based on different applications.
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method decent Numerical given results are successfully produces efficiently. that our to illustrate results
Numerical results are given to illustrate that our method successfully produces decent results efficiently.
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for from virus Identifying downstream viral data metagenomic critical is sequences analyses.
Identifying viral sequences from metagenomic data is critical for downstream virus analyses.
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(e.g., information or tweets) eyewitnesses by posted of images disaster. a includes text Such
Such information includes text (e.g., tweets) or images posted by eyewitnesses of a disaster.
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use to images The of disaster damage limited. social assess is media
The use of social media images to assess disaster damage is limited.
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represented feature sets vectors (\emph{instances}). multiple by instance (\emph{bags}) objects (MIL), In are learning of
In multiple instance learning (MIL), objects are represented by sets (\emph{bags}) of feature vectors (\emph{instances}).
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datasets classifiers for Like classification, benchmark and available numerous for MIL. several are supervised
Like for supervised classification, several benchmark datasets and numerous classifiers are available for MIL.
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the what drawn be has kind for of results. implications This conclusions may from comparison
This has implications for what kind of conclusions may be drawn from the comparison results.
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very similar can that conceptually behave show datasets Our differently. results
Our results show that conceptually similar datasets can behave very differently.
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method can recover has and local Our details real-time performance. strand
Our method can recover local strand details and has real-time performance.
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our a synthetic of rendered large to train network. use set models We hair
We use a large set of rendered synthetic hair models to train our network.
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Fluid three principles: Strong (I) on is based Machine-Learning annotation aid.
Fluid annotation is based on three principles: (I) Strong Machine-Learning aid.
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edit model. also the are operations The by assisted
The edit operations are also assisted by the model.
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single image annotation Full in a (II) pass.
(II) Full image annotation in a single pass.
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We annotator to and choose order. in which what annotate empower to the
We empower the annotator to choose what to annotate and in which order.
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machine This on already the know, what enables does i.e. concentrating not
This enables concentrating on what the machine does not already know, i.e.
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made. putting human it the effort on errors only
putting human effort only on the errors it made.
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effectively. budget using helps the This annotation
This helps using the annotation budget effectively.
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extraction IVUS lumen arterial segmentation involves media. The namely, components of walls two and the
The IVUS segmentation involves the extraction of two arterial walls components namely, lumen and media.
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image interpretation. automatic preliminary towards is an segmentation Semantic important step medical
Semantic segmentation is an important preliminary step towards automatic medical image interpretation.
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previous results attention focused more values and This methods. in plausible than more visualisation
This results in more focused attention values and more plausible visualisation than previous methods.
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apply method tasks. different three to proposed We the
We apply the proposed method to three different tasks.
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local forming hypotheses. to image are tubular fit Regularly spaced templates data
Regularly spaced tubular templates are fit to image data forming local hypotheses.
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This track enables starting to single a seed trees from method point. our
This enables our method to track trees starting from a single seed point.
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on coronary chest extract trees to is data and Our evaluated arteries. method CT airway
Our method is evaluated on chest CT data to extract airway trees and coronary arteries.
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during greatly the "db stage, the regions" retrieval performance improved. this is called descriptors Using
Using this descriptors called "db regions" during the retrieval stage, the performance is greatly improved.
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may Like field empirical science, any axiomatically. approached be AI of
Like any field of empirical science, AI may be approached axiomatically.
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We human-level formulate AI system general-purpose, a in of terms postulates. for requirements
We formulate requirements for a general-purpose, human-level AI system in terms of postulates.
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research. learning deep relate advances theoretical in neuroscience to We also
We also relate deep learning to advances in theoretical neuroscience research.
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these state-of-the-art tasks. performance results demonstrate across all Our
Our results demonstrate state-of-the-art performance across all these tasks.
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We new clustering method propose a optimal transportation. based on
We propose a new clustering method based on optimal transportation.
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on focus learning vehicle works mainly and global metrics. distance Previous features Re-ID extracting on
Previous works on vehicle Re-ID mainly focus on extracting global features and learning distance metrics.
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on i.e., datasets, our two methods VehicleID. VeRi vehicle Re-ID evaluate and We large-scale
We evaluate our methods on two large-scale vehicle Re-ID datasets, i.e., VeRi and VehicleID.
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with performance comparison results promising recent show methods works. in achieve Experimental our
Experimental results show our methods achieve promising performance in comparison with recent works.
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complex functions. provide convolutional neural to more mapping Deeper networks capacity approximate
Deeper convolutional neural networks provide more capacity to approximate complex mapping functions.
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depth and increasing increases However, on complexity. difficulties model network imposes training
However, increasing network depth imposes difficulties on training and increases model complexity.
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SSIMLayer nonlinear not it and inherently hence, does transformations. require proposed is nonlinear The subsequent
The proposed SSIMLayer is inherently nonlinear and hence, it does not require subsequent nonlinear transformations.
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the robust To features, a integrate pre-trained kinship to face we face generator. model extract
To extract robust features, we integrate a pre-trained face model to the kinship face generator.
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transformation stable attain more we Lastly, a results. cycle-domain adapt to
Lastly, we adapt cycle-domain transformation to attain a more stable results.
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Wild conducted (FIW) Families are dataset. on Experiments the in
Experiments are conducted on Families in the Wild (FIW) dataset.
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are Particularly, important this three presented contributions throughout paper.
Particularly, three important contributions are presented throughout this paper.
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Personalized is and of the online task broadcasters. a crucial many video businesses for advertisement
Personalized advertisement is a crucial task for many of the online businesses and video broadcasters.
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registration require a transfer the or training Moreover, does not to keypoint an atlas phase.
Moreover, keypoint transfer does not require the registration to an atlas or a training phase.
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allows with Finally, for the the field-of-view. variable method highly segmentation of scans
Finally, the method allows for the segmentation of scans with highly variable field-of-view.
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epidemic allowed distinct of and us criticality processes. phases to identify This
This allowed us to identify criticality and distinct phases of epidemic processes.
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We classification. propose decision-tree approach also based a for
We also propose a decision-tree based approach for classification.
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samples where In training recognition, all image are cannot there cover many cases classes. target
In image recognition, there are many cases where training samples cannot cover all target classes.
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is top Non-invasive currently in or among testing NIPT obstetric the care. prenatal topic researched
Non-invasive prenatal testing or NIPT is currently among the top researched topic in obstetric care.
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testing Trisomy, Uninformative DNA, Cell-free sequencing, Keywords: Method, . result, Prenatal Next-generation
Keywords: Next-generation sequencing, Cell-free DNA, Uninformative result, Method, Trisomy, Prenatal testing .
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to the task. both proposal captioning generation dense generation and important Temporal caption are
Temporal proposal generation and caption generation are both important to the dense captioning task.
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Reduction approach friction heat efficiency. is proven and losses of the to a engine increase
Reduction of heat and friction losses is a proven approach to increase the engine efficiency.
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proposed feed like strategies, control forward compared. feedback or are controllers, Different and
Different control strategies, like feed forward or feedback controllers, are proposed and compared.
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detailed differences are modelling some However, between simplified there which worth are mentioning. significant and
However, there are some significant differences between simplified and detailed modelling which are worth mentioning.
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design cross-layer a Wide (LPWANs). networks Area is imperative Power Therefore, realize effectively to Low
Therefore, a cross-layer design is imperative to effectively realize Low Power Wide Area networks (LPWANs).
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