VIAF

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Leader 00000nz a2200037n 45 0
001 WKP|Q58098355 (VIAF cluster) (Authority/Source Record)
003 WKP
005 20241221010839.0
008 241221nneanz||abbn n and d
035 ‎‡a (WKP)Q58098355‏
024 ‎‡a 0000-0002-2436-7750‏ ‎‡2 orcid‏
024 ‎‡a 56578010400‏ ‎‡2 scopus‏
035 ‎‡a (OCoLC)Q58098355‏
043 ‎‡c CA‏
046 ‎‡f 19820000‏
100 0 ‎‡a Jose Dolz‏ ‎‡c professeur à l'ÉTS‏ ‎‡9 fr‏
375 ‎‡a 1‏ ‎‡2 iso5218‏
400 0 ‎‡a Jose Dolz‏ ‎‡c professor at ÉTS‏ ‎‡9 en‏
400 0 ‎‡a Jose Dolz‏ ‎‡c wetenschapper‏ ‎‡9 nl‏
670 ‎‡a Author's 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.‏
670 ‎‡a Author's Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge‏
670 ‎‡a Author's Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images‏
670 ‎‡a Author's Constrained-CNN losses for weakly supervised segmentation‏
670 ‎‡a Author's Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.‏
670 ‎‡a Author's HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation‏
670 ‎‡a Author's Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients.‏
670 ‎‡a Author's Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks‏
670 ‎‡a Author's Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis‏
670 ‎‡a Author's Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study‏
670 ‎‡a Author's Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context.‏
670 ‎‡a Author's User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy‏
670 ‎‡a wikidata authority control‏ ‎‡u https://viaf.org/viaf/671152636142320050434‏
670 ‎‡a wikidata authority control‏ ‎‡u https://viaf.org/processed/SUDOC|225558823‏
909 ‎‡a (scopus) 56578010400‏ ‎‡9 1‏
909 ‎‡a (orcid) 0000000224367750‏ ‎‡9 1‏
919 ‎‡a esophagussegmentationinctvia3dfullyconvolutionalneuralnetworkandrandomwalk‏ ‎‡A Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.‏ ‎‡9 1‏
919 ‎‡a constrainedcnnlossesforweaklysupervisedsegmentation‏ ‎‡A Constrained-CNN losses for weakly supervised segmentation‏ ‎‡9 1‏
919 ‎‡a comparingfullyautomatedstateoftheartcerebellumparcellationfrommagneticresonanceimages‏ ‎‡A Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images‏ ‎‡9 1‏
919 ‎‡a benchmarkonautomatic6montholdinfantbrainsegmentationalgorithmstheiseg2017challenge‏ ‎‡A Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge‏ ‎‡9 1‏
919 ‎‡a 3dfullyconvolutionalnetworksforsubcorticalsegmentationinmrialargescalestudy‏ ‎‡A 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.‏ ‎‡9 1‏
919 ‎‡a userinteractioninsemiautomaticsegmentationoforgansatriskacasestudyinradiotherapy‏ ‎‡A User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy‏ ‎‡9 1‏
919 ‎‡a supervisedmachinelearningbasedclassificationschemetosegmentthebrainstemonmriinmulticenterbraintumortreatmentcontext‏ ‎‡A Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context.‏ ‎‡9 1‏
919 ‎‡a stackingdenoisingautoencodersinadeepnetworktosegmentthebrainstemonmriinbraincancerpatientsaclinicalstudy‏ ‎‡A Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study‏ ‎‡9 1‏
919 ‎‡a quantitativeidentificationofnonmuscleinvasiveandmuscleinvasivebladdercarcinomasamultiparametricmriradiomicsanalysis‏ ‎‡A Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis‏ ‎‡9 1‏
919 ‎‡a multiregionsegmentationofbladdercancerstructuresinmriwithprogressivedilatedconvolutionalnetworks‏ ‎‡A Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks‏ ‎‡9 1‏
919 ‎‡a interactivecontourdelineationoforgansatriskinradiotherapyclinicalevaluationonnsclcpatients‏ ‎‡A Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients.‏ ‎‡9 1‏
919 ‎‡a hyperdensenetahyperdenselyconnectedcnnformultimodalimagesegmentation‏ ‎‡A HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation‏ ‎‡9 1‏
946 ‎‡a b‏ ‎‡9 1‏
947 ‎‡a CA‏ ‎‡9 1‏
996 ‎‡2 BNE|XX5410933‏
996 ‎‡2 BNC|981058516304006706‏
996 ‎‡2 BNE|XX1377639‏
996 ‎‡2 LC|n 96114391‏
996 ‎‡2 DNB|1094710881‏
996 ‎‡2 BNE|XX1038874‏
996 ‎‡2 BNF|17706467‏
996 ‎‡2 BNC|981058515387706706‏
996 ‎‡2 LC|nr2003029381‏
997 ‎‡a 1982 0 lived 0000 0‏ ‎‡9 1‏
998 ‎‡a Dolz, Jose,‏ ‎‡2 SUDOC|225558823‏ ‎‡3 suggested‏ ‎‡3 partial date, partial title‏