Tingying Peng

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 53

Top Topics

Microscopic Images

Image Restoration

Top Venues

Publications

Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. CoRR (2024)
Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
Low-resource finetuning of foundation models beats state-of-the-art in histopathology. CoRR (2024)
Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. CoRR (2024)
Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
B-Cos Aligned Transformers Learn Human-Interpretable Features. CoRR (2024)
Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. IEEE Trans. Medical Imaging 42 (4) (2023)
Jeronimo Carvajal Maldonado, Lorenz Lamm, Ye Liu, Yu Liu, Ricardo D. Righetto, Julia A. Schnabel, Tingying Peng
F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches. ISBI (2023)
Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Fabian J. Theis, Tingying Peng, Eldad Klaiman
Training Transitive and Commutative Multimodal Transformers with LoReTTa. CoRR (2023)
Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman
Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS (2023)
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. ICCV (Workshops) (2023)
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. CoRR (2023)
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. CoRR (2023)
Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. MICCAI (8) (2023)
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, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud
Approaching Peak Ground Truth. CoRR (2023)
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, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud
Approaching Peak Ground Truth. ISBI (2023)
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, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR (2023)
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. MICCAI (8) (2023)
Ziqi Yu, Botao Zhao, Yipin Zhang, Shengjie Zhang, Xiang Chen, Haibo Yang, Tingying Peng, Xiao-Yong Zhang
Cross-grained Contrastive Representation for Unsupervised Lesion Segmentation in Medical Images. ICCV (Workshops) (2023)
Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
B-Cos Aligned Transformers Learn Human-Interpretable Features. MICCAI (8) (2023)
Ziqi Yu, Botao Zhao, Shengjie Zhang, Xiang Chen, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation. CoRR (2023)
Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. CoRR (2023)
Tomás Chobola, Anton Theileis, Jan Taucher, Tingying Peng
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior. CoRR (2022)
Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. CoRR (2022)
Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction. CoRR (2022)
Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. MICCAI (2) (2022)
Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. MICCAI (4) (2022)
Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning. CoRR (2022)
Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. MICCAI (2) (2022)
Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy. CoRR (2022)
Ye Liu, Sophia J. Wagner, Tingying Peng
Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation. J. Imaging 8 (3) (2022)
Lorenz Lamm, Ricardo D. Righetto, Wojciech Wietrzynski, Matthias Pöge, Antonio Martínez-Sánchez, Tingying Peng, Benjamin D. Engel
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms. Comput. Methods Programs Biomed. 224 (2022)
Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations. CoRR (2021)
Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. MICCAI (8) (2021)
Xiaoyang Han, Yuting Zhai, Ziqi Yu, Tingying Peng, Xiao-Yong Zhang
Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. MLMI@MICCAI (2021)
Ziqi Yu, Yuting Zhai, Xiaoyang Han, Tingying Peng, Xiao-Yong Zhang
MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures. MICCAI (1) (2021)
Ye Liu, Sophia J. Wagner, Tingying Peng
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation. CoRR (2021)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) (2020)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR (2020)
Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. MICCAI (5) (2020)
Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. MICCAI (1) (2019)
Manish Mishra, Sabine Schmitt, Hans Zischka, Michael K. Strasser, Nassir Navab, Carsten Marr, Tingying Peng
Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net. ICANN (Workshop) (2019)
Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. MICCAI (1) (2019)
Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) (2017)
Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR (2017)
Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. IEEE Trans. Medical Imaging 36 (7) (2017)
Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. IEEE Trans. Medical Imaging 35 (8) (2016)
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. MLMI@MICCAI (2016)
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. CoRR (2016)
Manish Mishra, Sabine Schmitt, Lichao Wang, Michael K. Strasser, Carsten Marr, Nassir Navab, Hans Zischka, Tingying Peng
Structure-based assessment of cancerous mitochondria using deep networks. ISBI (2016)
Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab
Structure-preserved color normalization for histological images. ISBI (2015)
Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
Flexible and Latent Structured Output Learning - Application to Histology. MLMI (2015)
Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. ICCV (2015)
Sailesh Conjeti, Mehmet Yigitsoy, Tingying Peng, Debdoot Sheet, Jyotirmoy Chatterjee, Christine Bayer, Nassir Navab, Amin Katouzian
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. ISBI (2015)
Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. ICIP (2015)
Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab
Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. MICCAI (1) (2014)
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, Ronan Flanagan, Claire Bost, Judith Muehl, David O'Neill, Tingying Peng, Stephen J. Payne, Daniel Rueckert, Dieter Schmalstieg, Michael Moche, Marina Kolesnik, Philipp Stiegler, Rupert H. Portugaller
High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. ISBI (2014)
Tingying Peng, Mehmet Yigitsoy, Abouzar Eslami, Christine Bayer, Nassir Navab
Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration-Learning Methodology. WBIR (2014)
Tingying Peng, David O'Neill, Stephen J. Payne
Mathematical study of the effects of different intrahepatic cooling on thermal ablation zones. EMBC (2011)
Tingying Peng, Alexander B. Rowley, Philip N. Ainslie, Marc J. Poulin, Stephen J. Payne
Wavelet Phase Synchronization Analysis of Cerebral Blood Flow Autoregulation. IEEE Trans. Biomed. Eng. 57 (4) (2010)