DATA AND KNOWLEDGE

ENGINEERING GROUP

Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
In: Computers in biology and medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 154 (2023)

Improvement of magnetic resonance (MR) imaging-based temperature-controlled hyperthermia by reconstructing highly undersampled MR acquisition
In: 34th Annual Meeting European Society for Hyperthermic Oncology - ESHO, 2022 . - 2022, S. 73-74

Automated SSIM regression for detection and quantification of motion artefacts in brain MR images
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022, insges. 10 S.

DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.

Learning to segment brain tumours using an explainable classifier
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.

MICDIR - multi-scale Inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 19 S.

Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.

Multi-scale UNet with self-constructing graph latent for deformable image registration
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022, insges. 4 S.

Primal-Dual UNet for sparse view cone beam computed tomography volume reconstruction
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.

Reference-less SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MRIs
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.

Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022, insges. 4 S.

Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 14 S.

TorchEsegeta - framework for interpretability and explainability of image-based deep learning models
In: Applied Sciences - Basel: MDPI, Bd. 12 (2022), 4, insges. 20 S.

Classification of brain tumours in MR images using deep spatiospatial models
In: Scientific reports - [London]: Macmillan Publishers Limited, part of Springer Nature, Bd. 12 (2022), insges. 11 S.

DS6, deformation-aware semi-supervised learning - application to small vessel segmentation with noisy training data
In: Journal of imaging - Basel: MDPI, Bd. 8 (2022), 10, insges. 22 S.

Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI
In: Magnetic resonance in medicine - New York, NY [u.a.]: Wiley-Liss, 1984, Bd. 87 (2022), 2, S. 646-657

ReconResNet: Regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
In: Computers in biology and medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 143 (2022)

StRegA - unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
In: Computers in biology and medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 149 (2022)

Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing
In: Konferenz: SPIE Optical Engineering + Application, San Diego, California, United States, 21-26 August 2022, Proceedings of SPIE/ SPIE - Bellingham, Wash.: SPIE, Bd. 12242 (2022)

Reducing artefacts in MRI using Deep Learning - enhancing automatic image processing pipelines
In: Magdeburg, 2022, xxv, 360 Seiten, Illustrationen, Diagramme, 30 cm

Automated SSIM regression for detection and quantification of motion artefacts in brain MR images
In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2022, insges. 9 S.

DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 12 S.

Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 16 S.

StRegA - unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2022, insges. 13 S.

DdoS - dynamic dual-channel U-Net for improving deep learning based super-resolution of abdominal dynamic MRI
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg: Springer, 1993, Bd. 34 (2021), Suppl. 1, S. S44

A comparative study of deep learning based deformable image registration techniques
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021

DS6, deformation-aware semi-supervised learning - application to small vessel segmentation with noisy training data
In: Medical Imaging with Deep Learning - OpenReview.net . - 2021, insges. 3 S.

Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021

Going beyond the image space - undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021

Interpretability techniques for deep learning based segmentation models
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021

ReconResNet: regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
In: Medical Imaging with Deep Learning - OpenReview.net . - 2021, insges. 3 S.

Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI)
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021

Unsupervised reconstruction based anomaly detection using a Variational Auto Encoder
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
In: Medical image analysis - Amsterdam [u.a.]: Elsevier Science, Volume 69(2021), article 101950

Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
In: Artificial intelligence in medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 121 (2021)

ShuffleUNet - super resolution of diffusion-weighted MRIs using deep learning
In: 29th European Signal Processing Conference (EUSIPCO 2021) - [Piscataway, NJ]: IEEE . - 2021

Upgraded W-Net with attention gates and its application in unsupervised 3D liver segmentation
In: Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. Volume 1: February 4-6, 2021 - [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Marsico, Maria . - 2021, S. 488-494

Classification of brain tumours in MR images using deep spatiospatial models
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, insges. 12 S.

ReconResNet: regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, S. 1-15

ShuffleUNet: super resolution of diffusion-weighted MRIs using deep learning
In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2021, S. 1-5

Sinogram upsampling using primal-dual UNet for undersampled CT and radial MRI reconstruction
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, insges. 20 S.

TorchEsegeta - framework for interpretability and explainability of image-based deep learning models
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, insges. 15 S.

Contrast prediction-based regularization for iterative reconstructions (PROSIT)
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020/ ISMRM Annual Meeting & Exhibition, 2020, 2020, Poster 3462

Evaluation of deep learning techniques for motion artifacts removal
In: Konferenz: ISMRM & SMRT Virtual Conference & Exhibition, 08-14 August 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020

Retrospective motion correction of MR images using prior-assisted deep learning
In: Konferenz: Medical Imaging Meets NeurIPS 2020, virtual, December 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010, 2020, insgesamt 5 Seiten

Super resolution of dynamic MRI using deep learning, enhanced by prior-knowledge
In: Kongress: ESMRMB 2020 Online Convergence Science & Education, September 30 - October 2, 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020

Unsupervised learning for Abdominal MRI Segmentation using 3D Attention W-Net
In: Konferenz: ISMRM & SMRT Virtual Conference & Exhibition, 08-14 August 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020

Upgraded W-net with attention gates and its application in unsupervised 3D liver segmentation
In: Konferenz: ICPRAM 2021, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020

Wavelet filtering of undersampled MRI using trainable wavelets and CNN
In: Kongress: ESMRMB 2020 Online Convergence Science & Education, September 30 - October 2, 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020

CHAOS challenge - combined (CT-MR) healthy abdominal organ segmentation
In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2001.06535, insgesamt 19 Seiten

DS6: deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset
In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2006.10802, insgesamt 13Seiten

Exploration of interpretability techniques for deep COVID-19 classification using chest X-ray images
In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2006.02570, insgesamt 16 Seiten

Comparison between the usage of same and different variable density undersampling patterns for Deep Learning based MRI Reconstruction
In: 4th Image-Guided Interventions Conference: digitalization in medicine : November 4th-5th 2019, UMM, Mannheim - Mannheim, 2019 . - 2019

Generating breathing deformation model from low resolution 4D MRI
In: 4th Image-Guided Interventions Conference: digitalization in medicine : November 4th-5th 2019, UMM, Mannheim - Mannheim, 2019 . - 2019

A deep learning approach for reconstruction of undersampled Cartesian and Radial data
In: Konferenz: ESMRMB 2019, Rotterdam, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2019

CHAOS challenge - team OvGU MEMoRIAL
In: Symposium: IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, Apr 11, 2019, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2019

Text classification using SVM enhanced by multithreading and CUDA
In: International journal of modern education and computer science - Hong Kong: MECS Press, Bd. 11.2019, 1, S. 11-23

Breathing deformation model - application to multi-resolution abdominal MRI
In: Konferenz: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Berlin, Germany, 23-27 July 2019, Biomedical engineering ranging from wellness to intensive care/ IEEE Engineering in Medicine and Biology Society - [Piscataway, NJ]: IEEE; Barbieri, Ricardo . - 2019, S. 2769-2772

Breathing deformation model - application to multi-resolution abdominal MRI
In: Konferenz: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Berlin, Germany, 23-27 July 2019, 41st Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2019

Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
In: Conference: IEEE 8th International Advance Computing Conference (IACC 2018)

Symmetric Key Encryption Algorithm Using Spider Web (ESP) Version-1
In: International Journal of Latest Trends in Engineering and Technology Vol.(10)Issue(2), pp.342-346

Auto-Explore the Web Web Crawler
In: International Journal of Innovative Research in Computer and Communication Engineering 5(4):6607-6618

Duplicate File Analyzer using N-layer Hash and Hash Table
In: International Research Journal of Computer Science (IRJCS), Issue 06, Volume 4

Hash and Salt based Steganographic Approach with Modified LSB Encoding
In: International Journal of Innovative Research in Computer and Communication Engineering 4(6):10599-10610

Microcontroller based automated life saviorMedisûr
In: Computational Science and Engineering, CRC Press, 2016, S. 329-332