Sailesh Conjeti
According to our database1,
Sailesh Conjeti
authored at least 58 papers
between 2011 and 2022.
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Bibliography
2022
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR, 2022
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
Proceedings of the Machine Learning for Health, 2022
2020
NeuroImage, 2020
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN.
IEEE Access, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.
NeuroImage, 2019
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.
NeuroImage, 2019
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI.
CoRR, 2019
Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis.
CoRR, 2018
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Learning Optimal Deep Projection of <sup>18</sup>F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network.
CoRR, 2017
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks.
IEEE J. Biomed. Health Informatics, 2016
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases.
Neuroinformatics, 2016
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.
Medical Image Anal., 2016
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection.
Artif. Intell. Medicine, 2016
Deeply learnt hashing forests for content based image retrieval in prostate MR images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Mutually coherent structural representation for image registration through joint manifold embedding and alignment.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the British Machine Vision Conference 2015, 2015
2014
Assessment of Driver Stress from Physiological Signals collected under Real-Time Semi-Urban Driving Scenarios.
Int. J. Comput. Intell. Syst., 2014
Corrigendum to "A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals" [Biomed. Signal Process. Control 8 (2013) 740-754].
Biomed. Signal Process. Control., 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals.
Biomed. Signal Process. Control., 2013
Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Bio-inspired wearable computing architecture and physiological signal processing for on-road stress monitoring.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011