Tingying Peng
Orcid: 0000-0002-7881-1749Affiliations:
- Helmholtz AI, Munich, German
- Technical University of Munich, Germany
According to our database1,
Tingying Peng
authored at least 46 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on helmholtz.ai
-
on orcid.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Mean Shift Clustering as a Loss Function for Accurate and Segmentation-Aware Localization of Macromolecules in Cryo-Electron Tomography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain.
IEEE Trans. Medical Imaging, April, 2023
HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation.
CoRR, 2023
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Cross-grained Contrastive Representation for Unsupervised Lesion Segmentation in Medical Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
J. Imaging, 2022
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms.
Comput. Methods Programs Biomed., 2022
S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2020
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2017
Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods.
IEEE Trans. Medical Imaging, 2017
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.
IEEE Trans. Medical Imaging, 2016
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration-Learning Methodology.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2011
Mathematical study of the effects of different intrahepatic cooling on thermal ablation zones.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
IEEE Trans. Biomed. Eng., 2010