| 2025 | ICCV | A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics. | Rushin H. Gindra, Giovanni Palla, Mathias Nguyen, Sophia J. Wagner, Manuel Tran, Fabian J. Theis, Dieter Saur, Lorin Crawford, Tingying Peng |
| 2025 | MICCAI | Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration. | Toms Chobola, Julia A. Schnabel, Tingying Peng |
| 2024 | ECCV | Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. | Toms Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng |
| 2024 | MICCAI | Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. | Oytun Demirbilek, Tingying Peng, Alaa Bessadok |
| 2024 | MICCAI | 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 |
| 2023 | MICCAI | LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. | Toms Chobola, Gesine Mller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng |
| 2023 | MICCAI | BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. | Yu Liu, Gesine Mller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng |
| 2023 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. | Daniel Reisenbchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng |
| 2022 | MICCAI | S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. | Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures. | Ziqi Yu, Yuting Zhai, Xiaoyang Han, Tingying Peng, Xiao-Yong Zhang |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | 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 |
| 2019 | ICANN | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2017 | MICCAI | 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 |
| 2016 | MICCAI | Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. | Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Bttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng |
| 2015 | ICCV | Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. | Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab |
| 2015 | ICIP | Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. | Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab |
| 2015 | MICCAI | Flexible and Latent Structured Output Learning - Application to Histology. | Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab |
| 2014 | MICCAI | Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. | Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab |