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Sailesh Conjeti

Showing results (1-10 of 18) with videos related to

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Artificial Intelligence in Medicine|September 25, 2016
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selectionSebastian Pölsterl, Sailesh Conjeti, Nassir Navab, et al.
Neuroimage|March 31, 2019
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality controlAbhijit Guha Roy, Sailesh Conjeti, Nassir Navab, et al.
Neuroimage|December 4, 2018
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomyAbhijit Guha Roy, Sailesh Conjeti, Nassir Navab, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Shading correction for whole slide image using low rank and sparse decompositionTingying Peng, Lichao Wang, Christine Bayer, et al.
F1000Research|July 20, 2017
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patientsSebastian Pölsterl, Pankaj Gupta, Lichao Wang, et al.
Neuroimage|June 12, 2020
FastSurfer - A fast and accurate deep learning based neuroimaging pipelineLeonie Henschel, Sailesh Conjeti, Santiago Estrada, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Full-wave intravascular ultrasound simulation from histologySilvan Kraft, Sailesh Conjeti, Peter B Noél, et al.
Neuroinformatics|May 9, 2016
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image DatabasesSailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, et al.
Medical Image Analysis|June 25, 2016
Metric hashing forestsSailesh Conjeti, Amin Katouzian, Anees Kazi, et al.
Medical Image Analysis|April 2, 2016
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterizationSailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|September 25, 2016
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selectionSebastian Pölsterl, Sailesh Conjeti, Nassir Navab, et al.
Neuroimage|March 31, 2019
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality controlAbhijit Guha Roy, Sailesh Conjeti, Nassir Navab, et al.
Neuroimage|December 4, 2018
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomyAbhijit Guha Roy, Sailesh Conjeti, Nassir Navab, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Shading correction for whole slide image using low rank and sparse decompositionTingying Peng, Lichao Wang, Christine Bayer, et al.
F1000Research|July 20, 2017
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patientsSebastian Pölsterl, Pankaj Gupta, Lichao Wang, et al.
Neuroimage|June 12, 2020
FastSurfer - A fast and accurate deep learning based neuroimaging pipelineLeonie Henschel, Sailesh Conjeti, Santiago Estrada, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Full-wave intravascular ultrasound simulation from histologySilvan Kraft, Sailesh Conjeti, Peter B Noél, et al.
Neuroinformatics|May 9, 2016
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image DatabasesSailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, et al.
Medical Image Analysis|June 25, 2016
Metric hashing forestsSailesh Conjeti, Amin Katouzian, Anees Kazi, et al.
Medical Image Analysis|April 2, 2016
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterizationSailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, et al.
Pageof 2