default search action
Sailesh Conjeti
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
- [c36]Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer
, Leon Mächler, 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: 566-577 - [i19]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 abs/2205.04550 (2022) - 2020
- [j12]Kausik Das
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN. IEEE Access 8: 213502-213511 (2020) - [j11]Leonie Henschel
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. NeuroImage 219: 117012 (2020) - [c35]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: 74 - [c34]Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
Abstract: FastSurfer. Bildverarbeitung für die Medizin 2020: 208
2010 – 2019
- 2019
- [j10]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186: 713-727 (2019) - [j9]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: 11-22 (2019) - [c33]Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab:
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin 2019: 14 - [c32]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Abstract: Leveraging Web Data for Skin Lesion Classification. Bildverarbeitung für die Medizin 2019: 199 - [c31]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: 61-65 - [i18]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 abs/1904.02082 (2019) - [i17]Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. CoRR abs/1910.03866 (2019) - 2018
- [b1]Sailesh Conjeti:
Learning to Hash for Large-Scale Medical Image Retrieval. Technical University Munich, Germany, 2018 - [c30]Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab:
Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin 2018: 35 - [c29]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: 42 - [c28]Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari:
Human Motion Analysis with Deep Metric Learning. ECCV (14) 2018: 693-710 - [c27]Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger
InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI 2018: 145-148 - [c26]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: 578-581 - [c25]Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker
Complex Fully Convolutional Neural Networks for MR Image Reconstruction. MLMIR@MICCAI 2018: 30-38 - [c24]Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter:
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. MLMI@MICCAI 2018: 214-222 - [c23]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
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI 2018: 227-235 - [c22]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Webly Supervised Learning for Skin Lesion Classification. MICCAI (2) 2018: 398-406 - [c21]Magdalini Paschali
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. MICCAI (1) 2018: 493-501 - [c20]Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab:
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) 2018: 543-551 - [c19]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) 2018: 664-672 - [e1]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i16]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR abs/1801.04161 (2018) - [i15]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Webly Supervised Learning for Skin Lesion Classification. CoRR abs/1804.00177 (2018) - [i14]Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab:
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. CoRR abs/1804.00504 (2018) - [i13]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR abs/1804.07046 (2018) - [i12]Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi:
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. CoRR abs/1806.11475 (2018) - [i11]Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker, Martin Reuter:
Complex Fully Convolutional Neural Networks for MR Image Reconstruction. CoRR abs/1807.03343 (2018) - [i10]Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter:
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. CoRR abs/1807.07803 (2018) - [i9]Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari:
Human Motion Analysis with Deep Metric Learning. CoRR abs/1807.11176 (2018) - [i8]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:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. CoRR abs/1810.05733 (2018) - [i7]Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR abs/1810.05735 (2018) - [i6]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR abs/1811.09800 (2018) - 2017
- [c18]Anees Kazi, Sailesh Conjeti, Amin Katouzian, Nassir Navab:
Coupled Manifold Learning for Retrieval Across Modalities. ICCV Workshops 2017: 1321-1328 - [c17]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: 231-239 - [c16]Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab:
Hashing with Residual Networks for Image Retrieval. MICCAI (3) 2017: 541-549 - [c15]Sailesh Conjeti, Magdalini Paschali
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. MICCAI (3) 2017: 550-558 - [i5]Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab:
Learning Robust Hash Codes for Multiple Instance Image Retrieval. CoRR abs/1703.05724 (2017) - [i4]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 abs/1704.02161 (2017) - [i3]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 abs/1705.00938 (2017) - 2016
- [j8]Sebastian Pölsterl
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artif. Intell. Medicine 72: 1-11 (2016) - [j7]Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. 32: 1-17 (2016) - [j6]Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab:
Metric hashing forests. Medical Image Anal. 34: 13-29 (2016) - [j5]Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics 14(4): 369-385 (2016) - [j4]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. IEEE J. Biomed. Health Informatics 20(2): 606-614 (2016) - [c14]Zhongyu Li, Fumin Shen, Ruogu Fang
Maximum inner product search for morphological retrieval of large-scale neuron data. ISBI 2016: 602-606 - [c13]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. ISBI 2016: 1359-1362 - [c12]Amit Shah, Sailesh Conjeti, Nassir Navab, Amin Katouzian:
Deeply learnt hashing forests for content based image retrieval in prostate MR images. Image Processing 2016: 978414 - [i2]Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab:
Deep Residual Hashing. CoRR abs/1612.05400 (2016) - [i1]Sailesh Conjeti, Anees Kazi, Nassir Navab, Amin Katouzian:
Cross-Modal Manifold Learning for Cross-modal Retrieval. CoRR abs/1612.06098 (2016) - 2015
- [c11]Shadi Albarqouni
Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data. BMVC 2015: 17.1-17.10 - [c10]Sailesh Conjeti, Mehmet Yigitsoy
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. ISBI 2015: 310-313 - [c9]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. ISBI 2015: 428-431 - [c8]Sailesh Conjeti, Mehmet Yigitsoy
Mutually coherent structural representation for image registration through joint manifold embedding and alignment. ISBI 2015: 601-604 - [c7]Sepideh Mesbah, Sailesh Conjeti, Ajayrama Kumaraswamy
Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases. MICCAI (2) 2015: 135-143 - 2014
- [j3]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: 144 (2014) - [j2]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): 909-923 (2014) - [c6]Tingying Peng, Lichao Wang, Christine Bayer
Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. MICCAI (1) 2014: 33-40 - [c5]Silvan Kraft, Sailesh Conjeti, Peter B. Noël, Stéphane G. Carlier
Full-Wave Intravascular Ultrasound Simulation from Histology. MICCAI (2) 2014: 627-634 - 2013
- [j1]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): 740-754 (2013) - [c4]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 - 2012
- [c3]Sailesh Conjeti, Rajiv Ranjan Singh, Rahul Banerjee
Bio-inspired wearable computing architecture and physiological signal processing for on-road stress monitoring. BHI 2012: 479-482 - [c2]Sailesh Conjeti, Dhiraj Puroshottam Jetwani:
Patient identification using high-confidence wavelet based Iris Pattern recognition. BHI 2012: 628-631 - 2011
- [c1]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: 1477-1482
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: