tag :: topic_lifescience

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1On Logics and Homomorphism Closure
M. Bodirsky, T. Feller, S. Knauer, and S. Rudolph. 2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), IEEE, (June 2021)
3 months ago by @scadsfct
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topic_lifescience
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1BCL::Conf: Improved open-source knowledge-based conformation sampling using the Crystallography Open Database
J. Mendenhall, B. Brown, S. Kothiwale, and J. Meiler. J. Chem. Inf. Model., 61 (1): 189--201 (January 2021)
3 months ago by @scadsfct
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1An empirical comparison of web page segmentation algorithms
J. Kiesel, L. Meyer, F. Kneist, B. Stein, and M. Potthast. Lecture Notes in Computer Science, Springer International Publishing, Cham, (2021)
3 months ago by @scadsfct
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1Towards complete and error-free genome assemblies of all vertebrate species
A. Rhie, S. McCarthy, O. Fedrigo, J. Damas, G. Formenti, S. Koren, M. Uliano-Silva, W. Chow, A. Fungtammasan, J. Kim and 117 other author(s). Nature, 592 (7856): 737--746 (April 2021)
3 months ago by @scadsfct
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topic_lifescience
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1Enhancing resilience of deep learning networks by means of transferable adversaries
M. Seiler, H. Trautmann, and P. Kerschke. 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, (July 2020)
3 months ago by @scadsfct
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1Sepsis-associated acute respiratory distress syndrome in individuals of European ancestry: a genome-wide association study
B. Guillen-Guio, J. Lorenzo-Salazar, S. Ma, P. Hou, T. Hernandez-Beeftink, A. Corrales, M. Garc\'ıa-Laorden, J. Jou, E. Espinosa, A. Muriel and 22 other author(s). Lancet Respir. Med., 8 (3): 258--266 (March 2020)
3 months ago by @scadsfct
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topic_lifescience
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1Distance multivariance: New dependence measures for random vectors
B. Böttcher, M. Keller-Ressel, and R. Schilling. Ann. Stat., 47 (5): 2757--2789 (October 2019)
3 months ago by @scadsfct
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topic_lifescience
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1Knowledge Graphs evolution and preservation -- A technical report from ISWS 2019
N. Abbas, K. Alghamdi, M. Alinam, F. Alloatti, G. Amaral, C. d'Amato, L. Asprino, M. Beno, F. Bensmann, R. Biswas and 64 other author(s). (2020)
3 months ago by @scadsfct
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1The landscape of genomic alterations across childhood cancers
S. Gröbner, ICGC PedBrain-Seq Project, B. Worst, J. Weischenfeldt, I. Buchhalter, K. Kleinheinz, V. Rudneva, P. Johann, G. Balasubramanian, M. Segura-Wang and 76 other author(s). Nature, 555 (7696): 321--327 (March 2018)
3 months ago by @scadsfct
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1Better a Microbenchmark on a Cluster than a User at the Office: Flink Cluster Benchmarking
D. Reichelt, L. Meyer, and S. Kühne. Softwaretechnik-Trends Band 39, Heft 3, page 52--54. Bonn, Gesellschaft für Informatik e.V., (2019)
3 months ago by @scadsfct
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1125-129 10.1055/a-1030-3232 gockel Ines I Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Jansen-winkeln Boris B Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Sucher Robert R Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Rayes Nada N Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Thieme René R Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Moulla Yusef Y Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Niebisch Stefan S Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Rademacher Sebastian S Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Seehofer Daniel D Klinik und poliklinik für viszeral-, transplantations-, thorax- und gefäßchirurgie, Universitätsklinikum Leipzig AöR, Deutschland. Schierle Katrin K Institut für pathologie, Universitätsklinikum Leipzig AöR, Deutschland. Bläker Hendrik H Institut für pathologie, Universitätsklinikum Leipzig AöR, Deutschland. Neumuth Thomas T innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Melzer Andreas A innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Maktabi Marianne M innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Köhler Hannes H innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Chalopin Claire C innovation center computer assisted surgery (ICCAS), Universität Leipzig, Deutschland. Ger journal article hyperspektral-imaging (HSI) -- eine verlässliche gewebedifferenzierung? 2020 04 08
I. Gockel, B. Jansen-Winkeln, R. Sucher, N. Rayes, R. Thieme, Y. Moulla, S. Niebisch, S. Rademacher, D. Seehofer, K. Schierle and 6 other author(s). Zentralbl. Chir., 145 (2): 125--129 (April 2020)
3 months ago by @scadsfct
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1MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes
M. Nata'ala, A. Avila Santos, J. Coelho Kasmanas, A. Bartholomäus, J. Saraiva, S. Godinho Silva, T. Keller-Costa, R. Costa, N. Gomes, A. Ponce de Leon Ferreira de Carvalho and 3 other author(s). Environ. Microbiome, 17 (1): 57 (November 2022)
3 months ago by @scadsfct
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topic_mathfoundation
Database;
Marine
Metadata;
Metagenomics;
Microbial
ecology
microbiomes;
topic_lifescience
topic_mathfoundationDatabase;MarineMetadata;Metagenomics;Microbialecologymicrobiomes;topic_lifescience
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1Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology
Q. Zeng, C. Klein, S. Caruso, P. Maille, N. Laleh, D. Sommacale, A. Laurent, G. Amaddeo, D. Gentien, A. Rapinat and 10 other author(s). J. Hepatol., 77 (1): 116--127 (July 2022)
3 months ago by @scadsfct
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topic_lifescience
artificial
deep
gene
image
immune
intelligence;
learning;
pathology;
signatures;
slide
whole
topic_lifescienceartificialdeepgeneimageimmuneintelligence;learning;pathology;signatures;slidewhole
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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)
3 months ago by @scadsfct
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topic_lifescience
Biomarker
Cancer;
Convolutional
Multimodal
Omics
fusion;
identification;
networks;
neural
topic_lifescienceBiomarkerCancer;ConvolutionalMultimodalOmicsfusion;identification;networks;neural
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1Uncertainty estimation in medical image classification: Systematic review
A. Kurz, K. Hauser, H. Mehrtens, E. Krieghoff-Henning, A. Hekler, J. Kather, S. Fröhling, C. von Kalle, and T. Brinker. JMIR Med. Inform., 10 (8): e36427 (August 2022)
3 months ago by @scadsfct
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topic_lifescience
calibration;
classification;
deep
detection;
estimation
image
imaging;
learning;
medical
network
out-of-distribution
uncertainty
topic_lifesciencecalibration;classification;deepdetection;estimationimageimaging;learning;medicalnetworkout-of-distributionuncertainty
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1Explainable artificial intelligence in skin cancer recognition: A systematic review
K. Hauser, A. Kurz, S. Haggenmüller, R. Maron, C. von Kalle, J. Utikal, F. Meier, S. Hobelsberger, F. Gellrich, M. Sergon and 23 other author(s). Eur. J. Cancer, (May 2022)
3 months ago by @scadsfct
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topic_lifescience
Artificial
Dermatology;
Man-machine
Skin
Systematic
intelligence;
neoplasms;
review
systems;
topic_lifescienceArtificialDermatology;Man-machineSkinSystematicintelligence;neoplasms;reviewsystems;
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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)
3 months ago by @scadsfct
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topic_lifescience
Artificial
Computational
Convolutional
Learning;
Multiple-Instance
Vision
Weakly-supervised
deep
intelligence;
learning
networks;
neural
pathology;
transformers;
topic_lifescienceArtificialComputationalConvolutionalLearning;Multiple-InstanceVisionWeakly-superviseddeepintelligence;learningnetworks;neuralpathology;transformers;
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1Nestin as a diagnostic and prognostic marker for combined hepatocellular-cholangiocarcinoma
J. Calderaro, L. Di Tommaso, P. Maillé, A. Beaufrère, C. Nguyen, L. Heij, V. Gnemmi, R. Graham, F. Charlotte, S. Chartier and 66 other author(s). J. Hepatol., 77 (6): 1586--1597 (December 2022)
3 months ago by @scadsfct
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topic_lifescience
cancer;
carcinoma;
cholangiocarcinoma;
combined
hepatocellular
hepatocellular-cholangiocarcinoma;
liver;
nestin
topic_lifesciencecancer;carcinoma;cholangiocarcinoma;combinedhepatocellularhepatocellular-cholangiocarcinoma;liver;nestin
(0)
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1Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology
P. Schrammen, N. Ghaffari Laleh, A. Echle, D. Truhn, V. Schulz, T. Brinker, H. Brenner, J. Chang-Claude, E. Alwers, A. Brobeil and 9 other author(s). J. Pathol., 256 (1): 50--60 (January 2022)
3 months ago by @scadsfct
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topic_lifescience
Lynch
artificial
cancer;
colorectal
computational
deep
digital
instability
intelligence;
learning;
microsatellite
pathology;
syndrome;
topic_lifescienceLynchartificialcancer;colorectalcomputationaldeepdigitalinstabilityintelligence;learning;microsatellitepathology;syndrome;
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1Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer
S. Brockmoeller, A. Echle, N. Ghaffari Laleh, S. Eiholm, M. Malmstrøm, T. Plato Kuhlmann, K. Levic, H. Grabsch, N. West, O. Saldanha and 7 other author(s). J. Pathol., 256 (3): 269--281 (March 2022)
3 months ago by @scadsfct
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topic_lifescience
AI;
LNM
adipose
and
artificial
biomarker;
bowel
cancer;
colorectal
deep
digital
early
inflamed
intelligence;
learning;
metastasis;
new
pT1
pT2
pathology;
prediction
predictive
tissue;
topic_lifescienceAI;LNMadiposeandartificialbiomarker;bowelcancer;colorectaldeepdigitalearlyinflamedintelligence;learning;metastasis;newpT1pT2pathology;predictionpredictivetissue;
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1On Logics and Homomorphism Closure

1BCL::Conf: Improved open-source knowledge-based conformation sampling using the Crystallography Open Database

1An empirical comparison of web page segmentation algorithms

1Towards complete and error-free genome assemblies of all vertebrate species

1Enhancing resilience of deep learning networks by means of transferable adversaries

1Sepsis-associated acute respiratory distress syndrome in individuals of European ancestry: a genome-wide association study

1Distance multivariance: New dependence measures for random vectors

1Knowledge Graphs evolution and preservation -- A technical report from ISWS 2019

1The landscape of genomic alterations across childhood cancers

1Better a Microbenchmark on a Cluster than a User at the Office: Flink Cluster Benchmarking

1MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes

1Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology

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

1Uncertainty estimation in medical image classification: Systematic review

1Explainable artificial intelligence in skin cancer recognition: A systematic review

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

1Nestin as a diagnostic and prognostic marker for combined hepatocellular-cholangiocarcinoma

1Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology

1Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer

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