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1A multitask deep-learning method for predicting membrane associations and secondary structures of proteins
B. Li, J. Mendenhall, J. Capra, and J. Meiler. J. Proteome Res., 20 (8): 4089--4100 (August 2021)
2 months ago by @scadsfct
show all tags
multitask
convolutional
prediction;
memory
transmembrane
deep
learning;
neural
networks;
topology
long
short-term
structure
secondary
topic_lifescience
prediction
multitaskconvolutionalprediction;memorytransmembranedeeplearning;neuralnetworks;topologylongshort-termstructuresecondarytopic_lifescienceprediction
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1Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
D. Nam, J. Chapiro, V. Paradis, T. Seraphin, and J. Kather. JHEP Rep., 4 (4): 100443 (April 2022)
2 months ago by @scadsfct
show all tags
a
disease;
HCC,
or
intelligence;
liver
multivariable
non-alcoholic
multimodal
ML,
artificial
WSIs,
images;
prediction
support
integration
TACE,
DICOM,
AI,
network;
deep
neural
Digital
Diagnosis;
MVI,
transarterial
fatty
microvascular
convolutional
in
learning;
imaging;
Communications
invasion;
NAFLD,
chemoembolisation;
hepatocellular
Reporting
steatohepatitis;
Transparent
Individual
slide
machine
Prognosis
Artificial
data
for
NASH,
whole
Medicine;
TRIPOD,
of
CNN,
and
Imaging
carcinoma;
diagnostic
system;
model
adisease;HCC,orintelligence;livermultivariablenon-alcoholicmultimodalML,artificialWSIs,images;predictionsupportintegrationTACE,DICOM,AI,network;deepneuralDigitalDiagnosis;MVI,transarterialfattymicrovascularconvolutionalinlearning;imaging;Communicationsinvasion;NAFLD,chemoembolisation;hepatocellularReportingsteatohepatitis;TransparentIndividualslidemachinePrognosisArtificialdataforNASH,wholeMedicine;TRIPOD,ofCNN,andImagingcarcinoma;diagnosticsystem;model
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1Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
N. Ghaffari Laleh, H. Muti, C. Loeffler, A. Echle, O. Saldanha, F. Mahmood, M. Lu, C. Trautwein, R. Langer, B. Dislich and 13 other author(s). Med. Image Anal., 79 (102474): 102474 (July 2022)
2 months ago by @scadsfct
show all tags
Convolutional
Artificial
intelligence;
Multiple-Instance
deep
neural
networks;
learning
Weakly-supervised
Learning;
transformers;
pathology;
Vision
Computational
ConvolutionalArtificialintelligence;Multiple-Instancedeepneuralnetworks;learningWeakly-supervisedLearning;transformers;pathology;VisionComputational
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1Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach
M. Steinacker, Y. Kheifetz, and M. Scholz. Heliyon, 9 (7): e17890 (July 2023)
2 months ago by @scadsfct
show all tags
neural
Precision
networks;
identification;
Recurrent
Transfer
learning
medicine;
Haematopoiesis;
unit_transfer
System
neuralPrecisionnetworks;identification;RecurrentTransferlearningmedicine;Haematopoiesis;unit_transferSystem
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1Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review
L. Schneider, S. Laiouar-Pedari, S. Kuntz, E. Krieghoff-Henning, A. Hekler, J. Kather, T. Gaiser, S. Fröhling, and T. Brinker. Eur. J. Cancer, (January 2022)
2 months ago by @scadsfct
show all tags
Convolutional
Biomarker
Multimodal
neural
networks;
Omics
identification;
topic_lifescience
Cancer;
fusion;
ConvolutionalBiomarkerMultimodalneuralnetworks;Omicsidentification;topic_lifescienceCancer;fusion;
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1Introduction to the BioChemical Library (BCL): An application-based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery
B. Brown, O. Vu, A. Geanes, S. Kothiwale, M. Butkiewicz, E. Lowe, Jr, R. Mueller, R. Pape, J. Mendenhall, and J. Meiler. Front. Pharmacol., (February 2022)
2 months ago by @scadsfct
show all tags
discovery;
library;
cheminformatics;
deep
network;
neural
biochemical
open-source
BCL;
drug
design;
topic_lifescience
QSAR;
discovery;library;cheminformatics;deepnetwork;neuralbiochemicalopen-sourceBCL;drugdesign;topic_lifescienceQSAR;
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2Neural machine translating from natural language to SPARQL
X. Yin, D. Gromann, and S. Rudolph. Future Generation Computer Systems, (2021)
a month ago by @scadsfct
show all tags
SPARQL,
Learning
Translation,
language
structured
queries,
knowledge
Natural
Neural
Machine
SPARQL,LearningTranslation,languagestructuredqueries,knowledgeNaturalNeuralMachine
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1Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network
A. Iporre-Rivas, D. Saur, K. Rohr, G. Scheuermann, and C. Gillmann. J. Med. Imaging (Bellingham), 10 (4): 044502 (July 2023)
2 months ago by @scadsfct
show all tags
stroke
medical
learning;
neural
networks;
imaging;
machine
prediction
multi-modal
graph
strokemedicallearning;neuralnetworks;imaging;machinepredictionmulti-modalgraph
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1Structural damage identification of composite rotors based on fully connected neural networks and convolutional neural networks
V. Scholz, P. Winkler, A. Hornig, M. Gude, and A. Filippatos. Sensors (Basel), 21 (6): 2005 (March 2021)
2 months ago by @scadsfct
show all tags
convolutional
(SHM)
monitoring
learning;
neural
networks;
rotors;
health
dense
composites;
connected
structural
composite
machine
fully
convolutional(SHM)monitoringlearning;neuralnetworks;rotors;healthdensecomposites;connectedstructuralcompositemachinefully
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publications (hide)9
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1A multitask deep-learning method for predicting membrane associations and secondary structures of proteins

1Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

1Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

1Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach

1Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review

1Introduction to the BioChemical Library (BCL): An application-based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery

2Neural machine translating from natural language to SPARQL

1Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network

1Structural damage identification of composite rotors based on fully connected neural networks and convolutional neural networks

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