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ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.

C. Prabhakar, H. Li, J. Yang, S. Shit, B. Wiestler, and B. Menze. MIDL, volume 227 of Proceedings of Machine Learning Research, page 666-679. PMLR, (2023)

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Chinmay Khare

Prabhakar Singh

Prabhakar Gore

Prabhakar Joshi

Prabhakar Chaudhari

Other publications of authors with the same name

Differentially Private Graph Classification with GNNs.T. Mueller, J. Paetzold, C. Prabhakar, D. Usynin, D. Rueckert, and G. Kaissis. CoRR, (2022)Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.C. Prabhakar, A. Sekuboyina, H. Li, J. Paetzold, S. Shit, T. Amiranashvili, J. Kleesiek, and B. Menze. GeoMedIA, volume 194 of Proceedings of Machine Learning Research, page 45-60. PMLR, (2022)Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.J. Paetzold, J. McGinnis, S. Shit, I. Ezhov, P. Büschl, C. Prabhakar, A. Sekuboyina, M. Todorov, G. Kaissis, A. Ertürk and 2 other author(s). NeurIPS Datasets and Benchmarks, (2021)Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.C. Prabhakar, H. Li, J. Paetzold, T. Loehr, C. Niu, M. Mühlau, D. Rueckert, B. Wiestler, and B. Menze. MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 226-236. Springer, (2023)ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.C. Prabhakar, H. Li, J. Yang, S. Shit, B. Wiestler, and B. Menze. MIDL, volume 227 of Proceedings of Machine Learning Research, page 666-679. PMLR, (2023)Link Prediction for Flow-Driven Spatial Networks.B. Wittmann, J. Paetzold, C. Prabhakar, D. Rueckert, and B. Menze. WACV, page 2460-2469. IEEE, (2024)Link Prediction for Flow-Driven Spatial Networks.B. Wittmann, J. Paetzold, C. Prabhakar, D. Rueckert, and B. Menze. CoRR, (2023)Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).J. Paetzold, J. McGinnis, S. Shit, I. Ezhov, P. Büschl, C. Prabhakar, M. Todorov, A. Sekuboyina, G. Kaissis, A. Ertürk and 2 other author(s). CoRR, (2021)A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.H. Li, C. Prabhakar, S. Shit, J. Paetzold, T. Amiranashvili, J. Zhang, D. Rueckert, J. Iglesias, B. Wiestler, and B. Menze. CoRR, (2022)Differentially Private Graph Neural Networks for Whole-Graph Classification.T. Mueller, J. Paetzold, C. Prabhakar, D. Usynin, D. Rueckert, and G. Kaissis. IEEE Trans. Pattern Anal. Mach. Intell., 45 (6): 7308-7318 (June 2023)

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Disambiguation of "Prabhakar, Chinmay"

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ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.

Please choose a person to relate this publication to

Chinmay Khare

Prabhakar Singh

Prabhakar Gore

Prabhakar Joshi

Prabhakar Chaudhari

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Prabhakar, Chinmay"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.

Please choose a person to relate this publication to

Chinmay Khare

Prabhakar Singh

Prabhakar Gore

Prabhakar Joshi

Prabhakar Chaudhari

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.