Sailesh Conjeti
Sailesh Conjeti
Siemens Healthineers
Bestätigte E-Mail-Adresse bei siemens-healthineers.com - Startseite
TitelZitiert vonJahr
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks
AG Roy, S Conjeti, SPK Karri, D Sheet, A Katouzian, C Wachinger, ...
Biomedical optics express 8 (8), 3627-3642, 2017
1382017
A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals
RR Singh, S Conjeti, R Banerjee
Biomedical Signal Processing and Control 8 (6), 740-754, 2013
942013
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
PCCD Community
The Lancet Oncology, 2016
83*2016
Error corrective boosting for learning fully convolutional networks with limited data
AG Roy, S Conjeti, D Sheet, A Katouzian, N Navab, C Wachinger
International Conference on Medical Image Computing and Computer-Assisted …, 2017
52*2017
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy
AG Roy, S Conjeti, N Navab, C Wachinger, ...
NeuroImage 186, 713-727, 2019
50*2019
An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers
RR Singh, S Conjeti, R Banerjee
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
352011
Lumen Segmentation in Intravascular Optical Coherence Tomography using Backscattering Tracked and Initialized Random Walks
A Guha Roy, S Conjeti, S Carlier, P Dutta, A Kastrati, A Laine, N Navab, ...
IEEE Journal of Biomedical and Health Informatics, 2015
262015
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection
S Pölsterl, S Conjeti, N Navab, A Katouzian
Artificial intelligence in medicine 72, 1-11, 2016
202016
Deeply learnt hashing forests for content based image retrieval in prostate MR images
A Shah, S Conjeti, N Navab, A Katouzian
Medical Imaging 2016: Image Processing 9784, 978414, 2016
192016
Biosignal based on-road stress monitoring for automotive drivers
RR Singh, S Conjeti, R Banerjee
2012 National Conference on Communications (NCC), 1-5, 2012
192012
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
M Paschali, S Conjeti, F Navarro, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
15*2018
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization
S Conjeti, A Katouzian, AG Roy, L Peter, D Sheet, S Carlier, A Laine, ...
Medical image analysis 32, 1-17, 2016
152016
Inherent brain segmentation quality control from fully convnet Monte Carlo sampling
AG Roy, S Conjeti, N Navab, C Wachinger
International Conference on Medical Image Computing and Computer-Assisted …, 2018
142018
Computer‐aided molecular pathology interpretation in exploring prospective markers for oral submucous fibrosis progression
A Anura, S Conjeti, RK Das, M Pal, RR Paul, S Bag, AK Ray, J Chatterjee
Head & neck 38 (5), 653-669, 2016
142016
Assessment of driver stress from physiological signals collected under real-time semi-urban driving scenarios
RR Singh, S Conjeti, R Banerjee
International Journal of Computational Intelligence Systems 7 (5), 909-923, 2014
142014
Human motion analysis with deep metric learning
H Coskun, D Joseph Tan, S Conjeti, N Navab, F Tombari
Proceedings of the European Conference on Computer Vision (ECCV), 667-683, 2018
132018
Metric hashing forests
S Conjeti, A Katouzian, A Kazi, S Mesbah, D Beymer, ...
Medical image analysis 34, 13-29, 2016
132016
Bio-inspired wearable computing architecture and physiological signal processing for on-road stress monitoring
S Conjeti, RR Singh, R Banerjee
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012
132012
Deep multiple instance hashing for scalable medical image retrieval
S Conjeti, M Paschali, A Katouzian, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2017
12*2017
Hashing forests for morphological search and retrieval in neuroscientific image databases
S Mesbah, S Conjeti, A Kumaraswamy, P Rautenberg, N Navab, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
122015
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