default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSuyash P. Awate
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j18]Vatsala Sharma
, Suyash P. Awate:
Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT. Medical Image Anal. 97: 103291 (2024)- [c74]Jimut B. Pal, Suyash P. Awate:
Convex Segments for Convex Objects Using DNN Boundary Tracing and Graduated Optimization. MICCAI (8) 2024: 91-101 - 2023
- [c73]Renuka Sharma, Hengcan Shi, Jianfei Cai, Suyash P. Awate, Nick Birbilis:
Deep Semi-supervised Anomaly Detection Using VQ-VAE. DICTA 2023: 273-280 - [c72]Akshay V. Gaikwad, Harshit Varma, Suyash P. Awate:
Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. ICIP 2023: 2195-2199 - [c71]Harshit Varma, Akshay V. Gaikwad, Suyash P. Awate:
Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. ISBI 2023: 1-5 - 2022
- [j17]Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality. Medical Image Anal. 78: 102392 (2022) - [c70]Renuka Sharma, Suyash P. Awate:
Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. ISBI 2022: 1-5 - [c69]Vatsala Sharma, Ansh Khurana, Sriram Yenamandra, Suyash P. Awate:
Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct. ISBI 2022: 1-5 - [c68]Renuka Sharma, Satvik Mashkaria, Suyash P. Awate:
A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification. WACV 2022: 1302-1310 - 2021
- [j16]Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. Medical Image Anal. 73: 102187 (2021) - [j15]Viswanath P. Sudarshan, Shenpeng Li, Sharna D. Jamadar, Gary F. Egan, Suyash P. Awate, Zhaolin Chen:
Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. NeuroImage 233: 117928 (2021) - [j14]Krishna Wadhwani, Suyash P. Awate:
Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement. Pattern Recognit. 118: 108001 (2021) - [c67]Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate:
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. ICCVW 2021: 3248-3257 - [c66]Akshay V. Gaikwad, Suyash P. Awate:
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. IPMI 2021: 624-636 - [i8]Sahar Almahfouz Nasser, Debjani Paul, Suyash P. Awate:
Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples. CoRR abs/2103.16285 (2021) - [i7]Uddeshya Upadhyay, Suyash P. Awate:
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. CoRR abs/2106.15575 (2021) - [i6]Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. CoRR abs/2107.09892 (2021) - [i5]Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate:
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement. CoRR abs/2110.03343 (2021) - 2020
- [j13]Viswanath P. Sudarshan, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior. Medical Image Anal. 62: 101669 (2020) - [j12]Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
R-fMRI reconstruction from k-t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization. Medical Image Anal. 65: 101752 (2020) - [j11]Nitin Kumar, Suyash P. Awate:
Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images. IEEE Trans. Image Process. 29: 4772-4787 (2020) - [c65]Nilay Pande, Suyash P. Awate:
Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning. ICPR 2020: 5666-5673 - [c64]Karan Taneja, Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI. ICPR 2020: 8492-8499 - [c63]Sriram Yenamandra, Ansh Khurana, Rohit Jena, Suyash P. Awate:
Learning Image Inpainting from Incomplete Images using Self-Supervision. ICPR 2020: 10390-10397 - [c62]Prachi H. Kulkarni, Kratika Gupta, S. N. Merchant, Suyash P. Awate:
R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution. ISBI 2020: 1060-1064 - [c61]Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate:
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. ISBI 2020: 1149-1153
2010 – 2019
- 2019
- [j10]Suyash P. Awate, Saurabh Garg, Rohit Jena:
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. Medical Image Anal. 55: 181-196 (2019) - [c60]Nitin Kumar, Sharat Chandran, Ajit V. Rajwade, Suyash P. Awate:
Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images. ICIP 2019: 544-548 - [c59]Kratika Gupta, Suyash P. Awate:
Bayesian Reconstruction of Undersampled Multicoil Hardi. ICIP 2019: 1247-1251 - [c58]Kratika Gupta, Suyash P. Awate:
Random Forests for Simultaneous-Multislice (SMS) Undersampled HARDI Reconstruction and Uncertainty Estimation. ICIP 2019: 2626-2630 - [c57]Rohit Jena, Suyash P. Awate:
A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration. IPMI 2019: 3-15 - [c56]Thyagarajan Radhakrishnan, Suyash P. Awate:
A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy. ISBI 2019: 543-547 - [c55]Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. ISBI 2019: 1372-1376 - [c54]Viswanath P. Sudarshan, Kratika Gupta, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework. MICCAI (3) 2019: 39-47 - [c53]Uddeshya Upadhyay, Suyash P. Awate:
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement. MICCAI (5) 2019: 556-564 - [i4]Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution GAN, with Manifold-based and Perception Loss. CoRR abs/1903.06920 (2019) - 2018
- [c52]Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. ICMLA 2018: 152-157 - [c51]Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior. ISBI 2018: 302-306 - [c50]Meet P. Shah, S. N. Merchant, Suyash P. Awate:
Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. ISBI 2018: 568-572 - [c49]Thyagarajan Radhakrishnan, K. Krishna Harsha Reddy, Suyash P. Awate:
A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy. ISBI 2018: 1583-1587 - [c48]Viswanath P. Sudarshan, Zhaolin Chen, Suyash P. Awate:
Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction. MICCAI (1) 2018: 338-346 - [c47]Meet P. Shah, S. N. Merchant, Suyash P. Awate:
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. MICCAI (4) 2018: 379-387 - [c46]Saurabh Garg, Suyash P. Awate:
Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation. MICCAI (1) 2018: 673-681 - [i3]Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. CoRR abs/1809.02497 (2018) - [i2]Yash Bhalgat, Meet P. Shah, Suyash P. Awate:
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. CoRR abs/1812.11302 (2018) - 2017
- [c45]Meet P. Shah, Sougata Singha, Suyash P. Awate:
Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network. ICIP 2017: 860-864 - [c44]Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate:
Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images. ICIP 2017: 4157-4161 - [c43]Suyash P. Awate, Richard M. Leahy, Anand A. Joshi:
Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex. IPMI 2017: 28-40 - [c42]Kratika Gupta, Suyash P. Awate:
Bayesian Dictionary Learning and Undersampled Multishell HARDI Reconstruction. IPMI 2017: 453-465 - [c41]Ayush Baid, Alankar Kotwal, Riddhish Bhalodia, S. N. Merchant, Suyash P. Awate:
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. ISBI 2017: 732-736 - [c40]Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate:
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. MICCAI (3) 2017: 21-29 - [e1]Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash P. Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury:
Computer Vision, Graphics, and Image Processing - ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, Guwahati, India, December 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10481, Springer 2017, ISBN 978-3-319-68123-8 [contents] - 2016
- [c39]Suyash P. Awate, Manik Dhar, Nilesh Kulkarni:
Robust kernel principal nested spheres. ICPR 2016: 402-407 - [c38]Alankar Kotwal, Riddhish Bhalodia, Suyash P. Awate:
Joint desmoking and denoising of laparoscopy images. ISBI 2016: 1050-1054 - [c37]Saurabh J. Shigwan, Suyash P. Awate:
Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing. MICCAI (3) 2016: 191-200 - [c36]Suyash P. Awate, Richard M. Leahy, Anand A. Joshi:
Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment. MICCAI (1) 2016: 237-246 - [c35]Suyash P. Awate, Nishanth N. Koushik:
Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space. ECML/PKDD (1) 2016: 731-748 - 2015
- [c34]Suyash P. Awate, Thyagarajan Radhakrishnan:
Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach. IPMI 2015: 3-16 - [c33]Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate:
A Statistical Model for Smooth Shapes in Kendall Shape Space. MICCAI (3) 2015: 628-635 - 2014
- [j9]Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, P. Thomas Fletcher:
A functional network estimation method of resting-state fMRI using a hierarchical Markov random field. NeuroImage 100: 520-534 (2014) - [j8]Suyash P. Awate, Ross T. Whitaker:
Multiatlas Segmentation as Nonparametric Regression. IEEE Trans. Medical Imaging 33(9): 1803-1817 (2014) - [c32]Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis. MICCAI (3) 2014: 9-16 - [c31]Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker:
Kernel Principal Geodesic Analysis. ECML/PKDD (1) 2014: 82-98 - 2013
- [c30]Eleanor Wong, Suyash P. Awate, P. Thomas Fletcher:
Adaptive Sparsity in Gaussian Graphical Models. ICML (1) 2013: 311-319 - [c29]Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker:
Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes. IPMI 2013: 656-667 - [c28]Suyash P. Awate, Edward V. R. DiBella:
Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity. ISBI 2013: 9-12 - [c27]Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker:
Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI. ISBI 2013: 1296-1299 - [c26]Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig:
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. MBIA 2013: 31-39 - 2012
- [c25]Suyash P. Awate, Edward V. R. Di Bella:
Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity. ISBI 2012: 318-321 - [c24]Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig:
Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. ISBI 2012: 1152-1155 - [c23]Suyash P. Awate, Peihong Zhu, Ross T. Whitaker:
How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size. MBIA 2012: 103-114 - [c22]Wei Liu, Suyash P. Awate, P. Thomas Fletcher:
Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields. MICCAI (3) 2012: 189-196 - [c21]Marcel Prastawa, Suyash P. Awate, Guido Gerig:
Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation. MMBIA 2012: 49-56 - [i1]Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Graphical Models for. CoRR abs/1212.5720 (2012) - 2011
- [j7]Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee:
Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures. IEEE Trans. Medical Imaging 30(2): 451-460 (2011) - [c20]Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, Deborah A. Yurgelun-Todd, P. Thomas Fletcher:
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI. MLMI 2011: 59-66 - [c19]Peihong Zhu, Suyash P. Awate, Samuel Gerber, Ross T. Whitaker:
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching. MICCAI (2) 2011: 484-491 - 2010
- [j6]Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. Medical Image Anal. 14(5): 666-673 (2010) - [j5]Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee:
Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development. NeuroImage 53(2): 450-459 (2010)
2000 – 2009
- 2009
- [c18]Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa Sundaram Cook, James C. Gee:
A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration. IPMI 2009: 215-226 - [c17]Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee:
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease. IPMI 2009: 552-563 - [c16]Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features. MICCAI (1) 2009: 141-149 - [c15]Suyash P. Awate, Paul A. Yushkevich, Daniel J. Licht, James C. Gee:
Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences. MICCAI (1) 2009: 200-207 - [c14]Yuanjie Zheng, Murray Grossman, Suyash P. Awate, James C. Gee:
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images. MICCAI (1) 2009: 852-859 - 2008
- [c13]Zhuang Song, Suyash P. Awate, James C. Gee:
Nonparametric Markov priors for tissue segmentation. ISBI 2008: 73-76 - [c12]Suyash P. Awate, Hui Zhang, Tony J. Simon, James C. Gee:
Multivariate segmentation of brain tissues by fusion of MRI and DTI data. ISBI 2008: 213-216 - [c11]Nicholas J. Tustison, Suyash P. Awate, Talissa A. Altes, James C. Gee, Jing Cai, G. Wilson Miller, Eduard E. de Lange, John P. Mugler III:
Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework. ISBI 2008: 772-775 - [c10]Philip A. Cook, Hui Zhang, Suyash P. Awate, James C. Gee:
Atlas-guided probabilistic diffusion-tensor fiber tractography. ISBI 2008: 951-954 - [c9]Suyash P. Awate, Lawrence Win, Paul A. Yushkevich, Robert T. Schultz, James C. Gee:
3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes. MICCAI (1) 2008: 559-567 - 2007
- [j4]Suyash P. Awate, Ross T. Whitaker:
Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach. IEEE Trans. Medical Imaging 26(9): 1242-1255 (2007) - [j3]Suyash P. Awate, Hui Zhang, James C. Gee:
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction. IEEE Trans. Medical Imaging 26(11): 1525-1536 (2007) - [c8]Suyash P. Awate, James C. Gee:
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis. IPMI 2007: 296-307 - [c7]Suyash P. Awate, Hui Zhang, James C. Gee:
Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction. MICCAI (1) 2007: 294-301 - [c6]Zhuang Song, Suyash P. Awate, Daniel J. Licht, James C. Gee:
Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors. MICCAI (1) 2007: 883-890 - 2006
- [j2]Suyash P. Awate, Tolga Tasdizen, Norman L. Foster, Ross T. Whitaker:
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. Medical Image Anal. 10(5): 726-739 (2006) - [j1]Suyash P. Awate, Ross T. Whitaker:
Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 364-376 (2006) - [c5]Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker:
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics. ECCV (2) 2006: 494-507 - [c4]Suyash P. Awate, Edward V. R. DiBella, Tolga Tasdizen, Ross T. Whitaker:
Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data. EMBC 2006: 936-941 - 2005
- [c3]Suyash P. Awate, Ross T. Whitaker:
Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering. CVPR (2) 2005: 44-51 - [c2]Suyash P. Awate, Ross T. Whitaker:
Nonparametric Neighborhood Statistics for MRI Denoising. IPMI 2005: 677-688 - [c1]Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker, Norman L. Foster:
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. MICCAI (2) 2005: 517-525
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 2024-10-17 20:24 CEST 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:
