Sailesh Conjeti

69 papers A 1B 1Journal 31Unranked 34

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