Tingying Peng

发表

Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition

Nassir Navab, Maximilian Baust, Lichao Wang, 2014, MICCAI.

A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans

Jianfeng Feng, C. Marr, Jie Zhang, 2022, eLife.

BEN: a generalizable Brain Extraction Net for multimodal MRI data from rodents, nonhuman primates, and humans

Jianfeng Feng, C. Marr, Jie Zhang, 2022, bioRxiv.

A BaSiC tool for background and shading correction of optical microscopy images

Nassir Navab, Tingying Peng, Carsten Marr, 2017, Nature Communications.

Attention based Multiple Instance Learning for Classification of Blood Cell Disorders pdf

Nassir Navab, Tingying Peng, Shadi Albarqouni, 2020, MICCAI.

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

Nassir Navab, Shadi Albarqouni, Maximilian Baust, 2016, IEEE Transactions on Medical Imaging.

Make deep learning algorithms in computational pathology more reproducible and reusable

Dominik Jens Elias Waibel, M. Boxberg, C. Matek, 2022, Nature Medicine.

Multi-task learning of a deep k-nearest neighbour network for histopathological image classification and retrieval

Nassir Navab, Tingying Peng, Carsten Marr, 2019, bioRxiv.

MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain

Xiao-Yong Zhang, Ziqi Yu, T. Peng, 2022, IEEE Transactions on Medical Imaging.

Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms

Damien Larivière, Julio O. Ortiz, Charles Kervrann, 2020, Nature Methods.

Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning

Bjoern H Menze, Hang Li, Junzhou Huang, 2022, BME Frontiers.

MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms

B. Engel, A. Martínez-Sánchez, R. Righetto, 2022, Comput. Methods Programs Biomed..

Structure-preserved color normalization for histological images

Nassir Navab, Shadi Albarqouni, Maximilian Baust, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures

Tingying Peng, Xiaoyang Han, Yuting Zhai, 2021, MICCAI.

Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation

Tingying Peng, S. Wagner, Ye Liu, 2022, J. Imaging.

DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior

J. Taucher, T. Peng, Tomás Chobola, 2022, ArXiv.

Training Transitive and Commutative Multimodal Transformers with LoReTTa

Yashin Dicente Cid, F. Theis, Eldad Klaiman, 2023, ArXiv.

Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy

Nassir Navab, Tingying Peng, Ario Sadafi, 2019, MICCAI.

Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Walter de Back, Tingying Peng, Carsten Marr, 2021, MICCAI.

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.

Nassir Navab, Shadi Albarqouni, Maximilian Baust, 2016, IEEE transactions on medical imaging.

Training Transitive and Commutative Multimodal Transformers with LoReTTa

Yashin Dicente Cid, F. Theis, Eldad Klaiman, 2023, ArXiv.

The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system

C. Marr, F. Shan, Botao Zhao, 2022, iScience.

DABC-Net for robust pneumonia segmentation and prediction of COVID-19 progression on chest CT scans

X. Xue, C. Marr, Botao Zhao, 2020 .

F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches

J. Schnabel, Yu Liu, R. Righetto, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Jakob Nikolas Kather, P. A. van den Brandt, H. Grabsch, 2023, Cancer cell.

Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images

Nassir Navab, Gustavo Carneiro, Tingying Peng, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Structure-based assessment of cancerous mitochondria using deep networks

Nassir Navab, Lichao Wang, Tingying Peng, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Training Transitive and Commutative Multimodal Transformers with LoReTTa

Yashin Dicente Cid, F. Theis, Eldad Klaiman, 2023, NeurIPS.

CellDeathPred: a deep learning framework for ferroptosis and apoptosis prediction based on cell painting

Kenji Schorpp, I. Rothenaigner, K. Hadian, 2023, bioRxiv.

BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior

N. Navab, Tingying Peng, Yu Liu, 2023, MICCAI.

Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net

Nassir Navab, Tingying Peng, Carsten Marr, 2019, ICANN.