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Sailesh Conjeti

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline
2020 · Leonie Henschel, Sailesh Conjeti, et al. · NeuroImage · 730
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ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks
2017 · Abhijit Guha Roy, Sailesh Conjeti, et al. · Biomedical Optics Express · 635
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
2018 · Danail Stoyanov, Zeike Taylor, et al. · Lecture notes in computer science · 350
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QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy
2018 · Abhijit Guha Roy, Sailesh Conjeti, et al. · NeuroImage · 285
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A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals
2013 · Rajiv Ranjan Singh, Sailesh Conjeti, et al. · Biomedical Signal Processing and Control · 199
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
2018 · Magdalini Paschali, Sailesh Conjeti, et al. · Lecture notes in computer science · 183
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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control
2019 · Abhijit Guha Roy, Sailesh Conjeti, et al. · NeuroImage · 155
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Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
2016 · Justin Guinney, Tao Wang, et al. · The Lancet Oncology · 145
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
2018 · Hassan Al Hajj, Mathieu Lamard, et al. · Medical Image Analysis · 134
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An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study
2021 · Fatemeh Homayounieh, Subba Digumarthy, et al. · JAMA Network Open · 122
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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
2017 · Abhijit Guha Roy, Sailesh Conjeti, et al. · Lecture notes in computer science · 93
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Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification
2018 · Kausik Das, Sailesh Conjeti, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 92
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling
2018 · Abhijit Guha Roy, Sailesh Conjeti, et al. · Lecture notes in computer science · 83
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Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN
2020 · Kausik Das, Sailesh Conjeti, et al. · IEEE Access · 81
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Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection
2016 · Sebastian Pölsterl, Sailesh Conjeti, et al. · Artificial Intelligence in Medicine · 61
Complex Fully Convolutional Neural Networks for MR Image Reconstruction
2018 · Muneer Ahmad Dedmari, Sailesh Conjeti, et al. · Lecture notes in computer science · 60
Human Motion Analysis with Deep Metric Learning
2018 · Huseyin Coskun, David Joseph Tan, et al. · Lecture notes in computer science · 56
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks
2015 · Abhijit Guha Roy, Sailesh Conjeti, et al. · IEEE Journal of Biomedical and Health Informatics · 33
Assessment of Driver Stress from Physiological Signals collected under Real-Time Semi-Urban Driving Scenarios
2013 · Rajiv Ranjan Singh, Sailesh Conjeti, et al. · International Journal of Computational Intelligence Systems · 31
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Hashing with Residual Networks for Image Retrieval
2017 · Sailesh Conjeti, Abhijit Guha Roy, et al. · Lecture notes in computer science · 29
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval
2017 · Sailesh Conjeti, Magdalini Paschali, et al. · Lecture notes in computer science · 28
Deeply learnt hashing forests for content based image retrieval in prostate MR images
2016 · Amit Shah, Sailesh Conjeti, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 28
An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers
2011 · Rajiv Ranjan Singh, Sailesh Conjeti, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 28
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients
2016 · Sebastian Pölsterl, Pankaj Gupta, et al. · F1000Research · 26
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Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization
2016 · Sailesh Conjeti, Amin Katouzian, et al. · Medical Image Analysis · 24
Works count: 76
Citation count: 3,972
H-index: 24
I10-index: 37
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