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ORCIDTingying Peng
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- affiliation: Helmholtz AI, Munich, German
- affiliation: Technical University of Munich, Germany
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2020 – today
- 2024
[c33]Lorenz Lamm, Ricardo D. Righetto, Tingying Peng:
Mean Shift Clustering as a Loss Function for Accurate and Segmentation-Aware Localization of Macromolecules in Cryo-Electron Tomography. ISBI 2024: 1-5- [c32]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. ISBI 2024: 1-5 - [i20]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 abs/2401.04720 (2024) - [i19]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 abs/2401.08868 (2024) - [i18]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 abs/2404.05022 (2024) - [i17]Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng:
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. CoRR abs/2407.12511 (2024) - 2023
- [j6]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): 1197-1209 (2023) - [c31]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: 2339-2346 - [c30]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: 3876-3885 - [c29]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: 1-6 - [c28]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: 1-5 - [c27]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: 514-524 - [c26]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: 646-655 - [c25]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: 656-665 - [c24]Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman:
Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS 2023 - [i16]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 abs/2301.00243 (2023) - [i15]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 abs/2301.09617 (2023) - [i14]Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng:
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. CoRR abs/2307.07998 (2023) - [i13]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 abs/2309.01865 (2023) - [i12]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 abs/2310.02097 (2023) - [i11]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 abs/2311.12461 (2023) - 2022
- [j5]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: 106990 (2022) - [j4]Ye Liu, Sophia J. Wagner, Tingying Peng:
Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation. J. Imaging 8(3): 71 (2022) - [c23]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: 99-108 - [c22]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: 99-108 - [c21]Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. MICCAI (2) 2022: 377-386 - [i10]Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning. CoRR abs/2203.07307 (2022) - [i9]Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction. CoRR abs/2205.06672 (2022) - [i8]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 abs/2206.13419 (2022) - [i7]Tomás Chobola, Anton Theileis, Jan Taucher, Tingying Peng:
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior. CoRR abs/2209.15377 (2022) - [i6]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 abs/2212.01825 (2022) - 2021
- [c20]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: 257-266 - [c19]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: 442-450 - [c18]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: 498-506 - [e1]Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents] - [i5]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 abs/2107.12357 (2021) - [i4]Ye Liu, Sophia J. Wagner, Tingying Peng:
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation. CoRR abs/2111.12138 (2021) - 2020
- [c17]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: 174-183 - [c16]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: 246-256 - [i3]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 abs/2007.11641 (2020)
2010 – 2019
- 2019
- [c15]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: 289-298 - [c14]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: 676-684 - [c13]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: 685-693 - 2017
- [j3]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): 1405-1417 (2017) - [c12]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: 356-364 - [i2]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 abs/1706.01148 (2017) - 2016
- [j2]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): 1962-1971 (2016) - [c11]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: 545-548 - [c10]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: 287-295 - [i1]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 abs/1608.07616 (2016) - 2015
- [c9]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: 648-656 - [c8]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. ICIP 2015: 2429-2433 - [c7]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: 310-313 - [c6]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: 1012-1015 - [c5]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Flexible and Latent Structured Output Learning - Application to Histology. MLMI 2015: 220-228 - 2014
- [c4]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: 81-84 - [c3]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: 33-40 - [c2]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: 144-153 - 2011
- [c1]Tingying Peng, David O'Neill, Stephen J. Payne:
Mathematical study of the effects of different intrahepatic cooling on thermal ablation zones. EMBC 2011: 6866-6869 - 2010
- [j1]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): 960-968 (2010)
Coauthor Index
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last updated on 2024-09-09 00:18 CEST by the dblp team
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