Wavelet Phase Synchronization Analysis of Cerebral Blood Flow Autoregulation. - Tingying Peng; Alexander B. Rowley; Philip N. Ainslie; Marc J. Poulin; Stephen J. Payne (IEEE Trans. Biomed. Eng., 2010)

Mathematical study of the effects of different intrahepatic cooling on thermal ablation zones. - Tingying Peng; David P. O'Neill; Stephen J. Payne (EMBC, 2011)

High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. - Bernhard Kainz; Philip Voglreiter; Michael Sereinigg; Iris Wiederstein-Grasser; Ursula Mayrhauser; Sonja Kostenbauer; Mika Pollari; Rostislav Khlebnikov; Matthias Seise; Tuomas Alhonnoro; Yrjö Häme; Daniel Seider; et al. (ISBI, 2014)

Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. - Tingying Peng; Lichao Wang; Christine Bayer; Sailesh Conjeti; Maximilian Baust; Nassir Navab (MICCAI (1), 2014)

Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration-Learning Methodology. - Tingying Peng; Mehmet Yigitsoy; Abouzar Eslami; Christine Bayer; Nassir Navab (WBIR, 2014)

Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (ICCV, 2015)

Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (ICIP, 2015)

Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. - Sailesh Conjeti; Mehmet Yigitsoy; Tingying Peng; Debdoot Sheet; Jyotirmoy Chatterjee; Christine Bayer; Nassir Navab; Amin Katouzian (ISBI, 2015)

Structure-preserved color normalization for histological images. - Abhishek Vahadane; Tingying Peng; Shadi Albarqouni; Maximilian Baust; Katja Steiger; Anna Melissa Schlitter; Amit Sethi; Irene Esposito; Nassir Navab (ISBI, 2015)

Flexible and Latent Structured Output Learning - Application to Histology. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (MLMI, 2015)

Structure-based assessment of cancerous mitochondria using deep networks. - Manish Mishra; Sabine Schmitt; Lichao Wang; Michael K. Strasser; Carsten Marr; Nassir Navab; Hans Zischka; Tingying Peng (ISBI, 2016)

Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. - Gerda Bortsova; Michael Sterr; Lichao Wang; Fausto Milletari; Nassir Navab; Anika Böttcher; Heiko Lickert; Fabian J. Theis; Tingying Peng (MLMI@MICCAI, 2016)

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. - Abhishek Vahadane; Tingying Peng; Amit Sethi; Shadi Albarqouni; Lichao Wang; Maximilian Baust; Katja Steiger; Anna Melissa Schlitter; Irene Esposito; Nassir Navab (IEEE Trans. Medical Imaging, 2016)

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. - Gerda Bortsova; Gijs van Tulder; Florian Dubost; Tingying Peng; Nassir Navab; Aad van der Lugt; Daniel Bos; Marleen de Bruijne (MICCAI (3), 2017)

Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (IEEE Trans. Medical Imaging, 2017)

Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net. - Manish Mishra; Sabine Schmitt; Hans Zischka; Michael K. Strasser; Nassir Navab; Carsten Marr; Tingying Peng (ICANN (Workshop), 2019)

Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. - Tingying Peng; Melanie Boxberg; Wilko Weichert; Nassir Navab; Carsten Marr (MICCAI (1), 2019)

Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. - Ario Sadafi; Niklas Koehler; Asya Makhro; Anna Bogdanova; Nassir Navab; Carsten Marr; Tingying Peng (MICCAI (1), 2019)

Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. - Tingying Peng; Lorenz Lamm; Dirk Loeffler; Nouraiz Ahmed; Nassir Navab; Timm Schroeder; Carsten Marr (MICCAI (5), 2020)

Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. - Ario Sadafi; Asya Makhro; Anna Bogdanova; Nassir Navab; Tingying Peng; Shadi Albarqouni; Carsten Marr (MICCAI (5), 2020)

Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. - Xiaoyang Han; Yuting Zhai; Ziqi Yu; Tingying Peng; Xiao-Yong Zhang (MLMI@MICCAI, 2021)

Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. - Sophia J. Wagner; Nadieh Khalili; Raghav Sharma; Melanie Boxberg; Carsten Marr; Walter de Back; Tingying Peng (MICCAI (8), 2021)

MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures. - Ziqi Yu; Yuting Zhai; Xiaoyang Han; Tingying Peng; Xiao-Yong Zhang (MICCAI (1), 2021)

Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation. - Ye Liu; Sophia J. Wagner; Tingying Peng (CoRR, 2021)

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. - Yu Liu; Kurt Weiss; Nassir Navab; Carsten Marr; Jan Huisken; Tingying Peng (MICCAI (4), 2022)

Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. - Daniel Reisenbüchler; Sophia J. Wagner; Melanie Boxberg; Tingying Peng (MICCAI (2), 2022)

S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. - Manuel Tran; Sophia J. Wagner; Melanie Boxberg; Tingying Peng (MICCAI (2), 2022)

MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms. - Lorenz Lamm; Ricardo D. Righetto; Wojciech Wietrzynski; Matthias Pöge; Antonio Martínez-Sánchez; Tingying Peng; Benjamin D. Engel (Comput. Methods Programs Biomed., 2022)

DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior. - Tomás Chobola; Anton Theileis; Jan Taucher; Tingying Peng (CoRR, 2022)

Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation. - Ye Liu; Sophia J. Wagner; Tingying Peng (J. Imaging, 2022)

Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. - Tomás Chobola; Gesine Müller; Veit Dausmann; Anton Theileis; Jan Taucher; Jan Huisken; Tingying Peng (ICCV (Workshops), 2023)

Cross-grained Contrastive Representation for Unsupervised Lesion Segmentation in Medical Images. - Ziqi Yu; Botao Zhao 001; Yipin Zhang; Shengjie Zhang; Xiang Chen; Haibo Yang 002; Tingying Peng; Xiao-Yong Zhang (ICCV (Workshops), 2023)

Approaching Peak Ground Truth. - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (ISBI, 2023)

F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches. - Jeronimo Carvajal Maldonado; Lorenz Lamm; Ye Liu; Yu Liu; Ricardo D. Righetto; Julia A. Schnabel; Tingying Peng (ISBI, 2023)

LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. - Tomás Chobola; Gesine Müller; Veit Dausmann; Anton Theileis; Jan Taucher; Jan Huisken; Tingying Peng (MICCAI (8), 2023)

BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. - Yu Liu; Gesine Müller; Nassir Navab; Carsten Marr; Jan Huisken; Tingying Peng (MICCAI (8), 2023)

B-Cos Aligned Transformers Learn Human-Interpretable Features. - Manuel Tran; Amal Lahiani; Yashin Dicente Cid; Melanie Boxberg; Peter Lienemann; Christian Matek; Sophia J. Wagner; Fabian J. Theis; Eldad Klaiman; Tingying Peng (MICCAI (8), 2023)

Training Transitive and Commutative Multimodal Transformers with LoReTTa. - Manuel Tran; Yashin Dicente Cid; Amal Lahiani; Fabian J. Theis; Tingying Peng; Eldad Klaiman (NeurIPS, 2023)

Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. - Sophia J. Wagner; Daniel Reisenbüchler; Nicholas P. West; Jan Moritz Niehues; Gregory Patrick Veldhuizen; Philip Quirke; Heike Irmgard Grabsch; Piet A. van den Brandt; Gordon G. A. Hutchins; Susan D. Richman; Tanwei Yuan; Rupert Langer; et al. (CoRR, 2023)

HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation. - Ziqi Yu; Botao Zhao 001; Shengjie Zhang; Xiang Chen; Jianfeng Feng; Tingying Peng; Xiao-Yong Zhang (CoRR, 2023)

MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. - Ziqi Yu; Xiaoyang Han; Shengjie Zhang; Jianfeng Feng; Tingying Peng; Xiao-Yong Zhang (IEEE Trans. Medical Imaging, 2023)

Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. - Tomás Chobola; Yu Liu; Hanyi Zhang; Julia A. Schnabel; Tingying Peng (ECCV (86), 2024)

Mean Shift Clustering as a Loss Function for Accurate and Segmentation-Aware Localization of Macromolecules in Cryo-Electron Tomography. - Lorenz Lamm; Ricardo D. Righetto; Tingying Peng (ISBI, 2024)

Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology. - Benedikt Roth; Valentin Koch; Sophia J. Wagner; Julia A. Schnabel; Carsten Marr; Tingying Peng (ISBI, 2024)

Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. - Oytun Demirbilek; Tingying Peng; Alaa Bessadok (GRAIL@MICCAI, 2024)

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. - Valentin Koch; Sophia J. Wagner; Salome Kazeminia; Ece Sancar; Matthias Hehr; Julia A. Schnabel; Tingying Peng; Carsten Marr (MICCAI (12), 2024)

Multimodal Whole Slide Foundation Model for Pathology. - Tong Ding; Sophia J. Wagner; Andrew H. Song; Richard J. Chen; Ming Y. Lu; Andrew Zhang; Anurag J. Vaidya; Guillaume Jaume; Muhammad Shaban; Ahrong Kim; Drew F. K. Williamson; Bowen Chen; et al. (CoRR, 2024)

An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs. - Imran Iqbal; Imran Ullah; Tingying Peng; Weiwei Wang; Nan Ma (Eng. Appl. Artif. Intell., 2025)

HiFi-Syn: Hierarchical granularity discrimination for high-fidelity synthesis of MR images with structure preservation. - Ziqi Yu; Botao Zhao 001; Shengjie Zhang; Xiang Chen; Fuhua Yan; Jianfeng Feng; Tingying Peng; Xiao-Yong Zhang (Medical Image Anal., 2025)

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data. - Manuel Tran; Sophia J. Wagner; Wilko Weichert; Christian Matek; Melanie Boxberg; Tingying Peng (IEEE Trans. Medical Imaging, 2025)