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FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

Oct 09, 2019
Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter

* Submitted to NeuroImage 

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FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI

Apr 03, 2019
Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B Breteler, Martin Reuter

* Submitted to Magnetic Resonance in Medicine 

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Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control

Nov 24, 2018
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger

* Under Review in NeuroImage 

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InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation

Oct 11, 2018
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab

* Kumar, Shubham, et al. ISBI, IEEE (2018)(pp. 145-148) 
* 4 pages, 3 figures, conference, IEEE ISBI, 2018 

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Learning Optimal Deep Projection of $^{18}$F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes

Oct 11, 2018
Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi

* Kumar, Shubham, et al. DLMIA, Springer, Cham, 2018. 227-235 
* 8 pages, 3 figures, conference, MICCAI DLMIA, 2018 

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Human Motion Analysis with Deep Metric Learning

Aug 06, 2018
Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari

* To appear in ECCV 2018 

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Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks

Jul 20, 2018
Santiago Estrada, Sailesh Conjeti, Muneer Ahmad, Nassir Navab, Martin Reuter

* Paper accepted on MICCAI-MLMI 2018 workshop 

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Complex Fully Convolutional Neural Networks for MR Image Reconstruction

Jul 09, 2018
Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker, Martin Reuter

* 9 pages, accepted in MICCAI-MLMIR 2018 Worshop 

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SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis

Jun 29, 2018
Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi

* 13 pages, 5 figures 

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Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling

Jun 08, 2018
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger

* Accepted at MICCAI 2018 

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Webly Supervised Learning for Skin Lesion Classification

Mar 31, 2018
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab


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Generalizability vs. Robustness: Adversarial Examples for Medical Imaging

Mar 23, 2018
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab

* Under Review for MICCAI 2018 

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QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds

Jan 12, 2018
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger

* Under Review 

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ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network

Jul 07, 2017
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab

* Accepted for Publication at Biomedical Optics Express 

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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

Jul 02, 2017
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger

* Accepted at MICCAI 2017 

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Learning Robust Hash Codes for Multiple Instance Image Retrieval

Mar 16, 2017
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab

* 10 pages, 7 figures, under review at MICCAI 2017 

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Cross-Modal Manifold Learning for Cross-modal Retrieval

Dec 19, 2016
Sailesh Conjeti, Anees Kazi, Nassir Navab, Amin Katouzian


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Deep Residual Hashing

Dec 16, 2016
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab

* Submitted to Information Processing in Medical Imaging, 2017 (Under review) 

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