Nürnberger A - Search Results

1

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.

Chatterjee S, Prabhu K, Pattadkal M, Bortsova G, Sarasaen C, Dubost F, Mattern H, de Bruijne M, Speck O, Nürnberger A. Chatterjee S, et al. Among authors: nurnberger a. J Imaging. 2022 Sep 22;8(10):259. doi: 10.3390/jimaging8100259. J Imaging. 2022. PMID: 36286353 Free PMC article.

2

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.

Kavur AE, Gezer NS, Barış M, Aslan S, Conze PH, Groza V, Pham DD, Chatterjee S, Ernst P, Özkan S, Baydar B, Lachinov D, Han S, Pauli J, Isensee F, Perkonigg M, Sathish R, Rajan R, Sheet D, Dovletov G, Speck O, Nürnberger A, Maier-Hein KH, Bozdağı Akar G, Ünal G, Dicle O, Selver MA. Kavur AE, et al. Among authors: nurnberger a. Med Image Anal. 2021 Apr;69:101950. doi: 10.1016/j.media.2020.101950. Epub 2020 Dec 25. Med Image Anal. 2021. PMID: 33421920

3

Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge.

Sarasaen C, Chatterjee S, Breitkopf M, Rose G, Nürnberger A, Speck O. Sarasaen C, et al. Among authors: nurnberger a. Artif Intell Med. 2021 Nov;121:102196. doi: 10.1016/j.artmed.2021.102196. Epub 2021 Oct 15. Artif Intell Med. 2021. PMID: 34763811

4

Classification of brain tumours in MR images using deep spatiospatial models.

Chatterjee S, Nizamani FA, Nürnberger A, Speck O. Chatterjee S, et al. Among authors: nurnberger a. Sci Rep. 2022 Jan 27;12(1):1505. doi: 10.1038/s41598-022-05572-6. Sci Rep. 2022. PMID: 35087174 Free PMC article.

5

ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data.

Chatterjee S, Breitkopf M, Sarasaen C, Yassin H, Rose G, Nürnberger A, Speck O. Chatterjee S, et al. Among authors: nurnberger a. Comput Biol Med. 2022 Apr;143:105321. doi: 10.1016/j.compbiomed.2022.105321. Epub 2022 Feb 19. Comput Biol Med. 2022. PMID: 35219188

6

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder.

Chatterjee S, Sciarra A, Dünnwald M, Tummala P, Agrawal SK, Jauhari A, Kalra A, Oeltze-Jafra S, Speck O, Nürnberger A. Chatterjee S, et al. Among authors: nurnberger a. Comput Biol Med. 2022 Oct;149:106093. doi: 10.1016/j.compbiomed.2022.106093. Epub 2022 Sep 6. Comput Biol Med. 2022. PMID: 36116318

7

Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging.

Haseljić H, Chatterjee S, Frysch R, Kulvait V, Semshchikov V, Hensen B, Wacker F, Brüsch I, Werncke T, Speck O, Nürnberger A, Rose G. Haseljić H, et al. Among authors: nurnberger a. Comput Biol Med. 2023 Mar;154:106539. doi: 10.1016/j.compbiomed.2023.106539. Epub 2023 Jan 14. Comput Biol Med. 2023. PMID: 36689856

8

MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent.

Chatterjee S, Bajaj H, Siddiquee IH, Subbarayappa NB, Simon S, Shashidhar SB, Speck O, Nürnberger A. Chatterjee S, et al. Among authors: nurnberger a. Comput Med Imaging Graph. 2023 Sep;108:102267. doi: 10.1016/j.compmedimag.2023.102267. Epub 2023 Jun 28. Comput Med Imaging Graph. 2023. PMID: 37506427

9

Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction.

Ernst P, Chatterjee S, Rose G, Speck O, Nürnberger A. Ernst P, et al. Among authors: nurnberger a. Neural Netw. 2023 Sep;166:704-721. doi: 10.1016/j.neunet.2023.08.004. Epub 2023 Aug 9. Neural Netw. 2023. PMID: 37604079

10

Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images.

Chatterjee S, Saad F, Sarasaen C, Ghosh S, Krug V, Khatun R, Mishra R, Desai N, Radeva P, Rose G, Stober S, Speck O, Nürnberger A. Chatterjee S, et al. Among authors: nurnberger a. J Imaging. 2024 Feb 8;10(2):45. doi: 10.3390/jimaging10020045. J Imaging. 2024. PMID: 38392093 Free PMC article.

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