Sailesh Conjeti

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 58

Top Venues

CoRR

ISBI

Bildverarbeitung für die Medizin

MICCAI (2)

Technical University Munich, Germany (PHD)

Education History

Technical University Munich, Germany

PHD

Publications

Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze
Casting the inverse problem as a database query. The case of personalized tumor growth modeling. CoRR (2022)
Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer, Leon Maechler, Katharina Franitza, Tamaz Amiranashvili, Martin J. Menten, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. ML4H@NeurIPS (2022)
Kausik Das, Sailesh Conjeti, Jyotirmoy Chatterjee, Debdoot Sheet
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN. IEEE Access 8 (2020)
Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter
Abstract: FastSurfer. Bildverarbeitung für die Medizin (2020)
Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. NeuroImage 219 (2020)
Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco, Joana Panos, Monique M. B. Breteler, Martin Reuter
Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. Bildverarbeitung für die Medizin (2020)
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab
Abstract: Leveraging Web Data for Skin Lesion Classification. Bildverarbeitung für die Medizin (2019)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin (2019)
Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. CoRR (2019)
Jian Kang, Gihan Samarasinghe, Upul Senanayake, Sailesh Conjeti, Arcot Sowmya
Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI. ISBI (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186 (2019)
Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B. Breteler, Martin Reuter
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. CoRR (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage 195 (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) (2018)
Kausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. ISBI (2018)
Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. MLMI@MICCAI (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
F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI (2018)
Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth Clarkson, Nassir Navab
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) (2018)
Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab
Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR (2018)
Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari
Human Motion Analysis with Deep Metric Learning. CoRR (2018)
Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. CoRR (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
F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. CoRR (2018)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. MICCAI (1) (2018)
Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari
Human Motion Analysis with Deep Metric Learning. ECCV (14) (2018)
Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker, Martin Reuter
Complex Fully Convolutional Neural Networks for MR Image Reconstruction. MLMIR@MICCAI (2018)
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab
Webly Supervised Learning for Skin Lesion Classification. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR (2018)
Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin (2018)
Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab
Webly Supervised Learning for Skin Lesion Classification. MICCAI (2) (2018)
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR (2018)
Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker, Martin Reuter
Complex Fully Convolutional Neural Networks for MR Image Reconstruction. CoRR (2018)
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI (2018)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. CoRR (2017)
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. CoRR (2017)
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab
Learning Robust Hash Codes for Multiple Instance Image Retrieval. CoRR (2017)
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
Hashing with Residual Networks for Image Retrieval. MICCAI (3) (2017)
Anees Kazi, Sailesh Conjeti, Amin Katouzian, Nassir Navab
Coupled Manifold Learning for Retrieval Across Modalities. ICCV Workshops (2017)
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. MICCAI (3) (2017)
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. MICCAI (3) (2017)
Sailesh Conjeti, Anees Kazi, Nassir Navab, Amin Katouzian
Cross-Modal Manifold Learning for Cross-modal Retrieval. CoRR (2016)
Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Pranab K. Dutta, Adnan Kastrati, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. IEEE J. Biomed. Health Informatics 20 (2) (2016)
Amit Shah, Sailesh Conjeti, Nassir Navab, Amin Katouzian
Deeply learnt hashing forests for content based image retrieval in prostate MR images. Medical Imaging: Image Processing (2016)
Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab
Metric hashing forests. Medical Image Anal. 34 (2016)
Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang
Maximum inner product search for morphological retrieval of large-scale neuron data. ISBI (2016)
Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang, Nassir Navab, Amin Katouzian
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics 14 (4) (2016)
Sebastian Pölsterl, Sailesh Conjeti, Nassir Navab, Amin Katouzian
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artif. Intell. Medicine 72 (2016)
Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. 32 (2016)
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
Deep Residual Hashing. CoRR (2016)
Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Khalil Houissa, Andreas König, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. ISBI (2016)
Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. ISBI (2015)
Sepideh Mesbah, Sailesh Conjeti, Ajayrama Kumaraswamy, Philipp L. Rautenberg, Nassir Navab, Amin Katouzian
Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases. MICCAI (2) (2015)
Sailesh Conjeti, Mehmet Yigitsoy, Tingying Peng, Debdoot Sheet, Jyotirmoy Chatterjee, Christine Bayer, Nassir Navab, Amin Katouzian
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. ISBI (2015)
Shadi Albarqouni, Maximilian Baust, Sailesh Conjeti, Asharf Al-Amoudi, Nassir Navab
Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data. BMVC (2015)
Sailesh Conjeti, Mehmet Yigitsoy, Debdoot Sheet, Jyotirmoy Chatterjee, Nassir Navab, Amin Katouzian
Mutually coherent structural representation for image registration through joint manifold embedding and alignment. ISBI (2015)
Rajiv Ranjan Singh, Sailesh Conjeti, Rahul Banerjee
Assessment of Driver Stress from Physiological Signals collected under Real-Time Semi-Urban Driving Scenarios. Int. J. Comput. Intell. Syst. 7 (5) (2014)
Rajiv Ranjan Singh, Sailesh Conjeti, Rahul Banerjee
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. 10 (2014)
Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab
Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. MICCAI (1) (2014)
Silvan Kraft, Sailesh Conjeti, Peter B. Noël, Stéphane G. Carlier, Nassir Navab, Amin Katouzian
Full-Wave Intravascular Ultrasound Simulation from Histology. MICCAI (2) (2014)
Debdoot Sheet, Sri Phani Krishna Karri, Sailesh Conjeti, Sambuddha Ghosh, Jyotirmoy Chatterjee, Ajoy Kumar Ray
Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics. ISBI (2013)
Rajiv Ranjan Singh, Sailesh Conjeti, Rahul Banerjee
A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals. Biomed. Signal Process. Control. 8 (6) (2013)
Sailesh Conjeti, Rajiv Ranjan Singh, Rahul Banerjee
Bio-inspired wearable computing architecture and physiological signal processing for on-road stress monitoring. BHI (2012)
Sailesh Conjeti, Dhiraj Puroshottam Jetwani
Patient identification using high-confidence wavelet based Iris Pattern recognition. BHI (2012)
Rajiv Ranjan Singh, Sailesh Conjeti, Rahul Banerjee
An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers. ITSC (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sailesh Conjeti