Tingying Peng - RankMe

74 papers A* 2B 1Journal 35Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FM 2 : Fusing multiple foundation models for pathology image analysis via disentangled consensus-divergence representation. Inf. Fusion Ziqi Yu, Shengjie Zhang, Nidan Qiao, Yao Zhao, Lequan Yu, Tingying Peng, Xiao-Yong Zhang
2025	—	`conf`	A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics. ICCVW Rushin H. Gindra, Giovanni Palla, Mathias Nguyen, Sophia J. Wagner, Manuel Tran, Fabian J. Theis, Dieter Saur, Lorin Crawford, Tingying Peng
2025	J	`jnl`	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. Eng. Appl. Artif. Intell. Imran Iqbal, Imran Ullah, Tingying Peng, Weiwei Wang, Nan Ma
2025	J	`jnl`	HiFi-Syn: Hierarchical granularity discrimination for high-fidelity synthesis of MR images with structure preservation. Medical Image Anal. Ziqi Yu, Botao Zhao, Shengjie Zhang, Xiang Chen, Fuhua Yan, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
2025	—	`conf`	Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration. MICCAI (13) Tomás Chobola, Julia A. Schnabel, Tingying Peng
2025	J	`jnl`	Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration. CoRR Tomás Chobola, Julia A. Schnabel, Tingying Peng
2025	J	`jnl`	NOA: a versatile, extensible tool for AI-based organoid analysis. CoRR Mikhail Konov, Lion J. Gleiter, Khoa Co, Monica Yabal, Tingying Peng
2025	J	`jnl`	Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data. IEEE Trans. Medical Imaging Manuel Tran, Sophia J. Wagner, Wilko Weichert, Christian Matek, Melanie Boxberg, Tingying Peng
2025	J	`jnl`	Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2. CoRR Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt, Benedikt Schworm, Marion Jasnin, Tingying Peng
2024	J	`jnl`	B-Cos Aligned Transformers Learn Human-Interpretable Features. CoRR Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
2024	—	`conf`	DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. MICCAI (12) Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
2024	J	`jnl`	DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. CoRR Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
2024	—	`conf`	Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. ECCV (86) Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
2024	J	`jnl`	Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. CoRR Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
2024	—	`conf`	Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. GRAIL@MICCAI Oytun Demirbilek, Tingying Peng, Alaa Bessadok
2024	J	`jnl`	Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. CoRR Oytun Demirbilek, Tingying Peng, Alaa Bessadok
2024	—	`conf`	Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology. ISBI Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
2024	J	`jnl`	Low-resource finetuning of foundation models beats state-of-the-art in histopathology. CoRR Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
2024	—	`conf`	Mean Shift Clustering as a Loss Function for Accurate and Segmentation-Aware Localization of Macromolecules in Cryo-Electron Tomography. ISBI Lorenz Lamm, Ricardo D. Righetto, Tingying Peng
2024	J	`jnl`	Multimodal Whole Slide Foundation Model for Pathology. CoRR 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, Cristina Almagro-Pérez, Paul Doucet, Sharifa Sahai, Chengkuan Chen, Daisuke Komura, Akihiro Kawabe, Shumpei Ishikawa, Georg Gerber, Tingying Peng, Long Phi Le, Faisal Mahmood
2023	—	`conf`	Approaching Peak Ground Truth. ISBI 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
2023	J	`jnl`	Approaching Peak Ground Truth. CoRR 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
2023	—	`conf`	B-Cos Aligned Transformers Learn Human-Interpretable Features. MICCAI (8) Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
2023	—	`conf`	BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. MICCAI (8) Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2023	J	`jnl`	BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. CoRR Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2023	—	`conf`	Cross-grained Contrastive Representation for Unsupervised Lesion Segmentation in Medical Images. ICCV (Workshops) Ziqi Yu, Botao Zhao, Yipin Zhang, Shengjie Zhang, Xiang Chen, Haibo Yang, Tingying Peng, Xiao-Yong Zhang
2023	—	`conf`	F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches. ISBI Jeronimo Carvajal Maldonado, Lorenz Lamm, Ye Liu, Yu Liu, Ricardo D. Righetto, Julia A. Schnabel, Tingying Peng
2023	J	`jnl`	Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR 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
2023	J	`jnl`	HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation. CoRR Ziqi Yu, Botao Zhao, Shengjie Zhang, Xiang Chen, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
2023	—	`conf`	LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. MICCAI (8) Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023	J	`jnl`	LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. CoRR Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023	—	`conf`	Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. ICCV (Workshops) Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023	J	`jnl`	Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. CoRR Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023	J	`jnl`	MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. IEEE Trans. Medical Imaging Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
2023	A*	`conf`	Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman
2022	J	`jnl`	DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior. CoRR Tomás Chobola, Anton Theileis, Jan Taucher, Tingying Peng
2022	—	`conf`	DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. MICCAI (4) Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2022	J	`jnl`	DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy. CoRR Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2022	—	`conf`	Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. MICCAI (2) Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
2022	J	`jnl`	Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction. CoRR Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
2022	J	`jnl`	MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms. Comput. Methods Programs Biomed. Lorenz Lamm, Ricardo D. Righetto, Wojciech Wietrzynski, Matthias Pöge, Antonio Martínez-Sánchez, Tingying Peng, Benjamin D. Engel
2022	J	`jnl`	MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. CoRR Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
2022	J	`jnl`	Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation. J. Imaging Ye Liu, Sophia J. Wagner, Tingying Peng
2022	J	`jnl`	S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning. CoRR Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
2022	—	`conf`	S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. MICCAI (2) Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
2021	—	`conf`	Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. MLMI@MICCAI Xiaoyang Han, Yuting Zhai, Ziqi Yu, Tingying Peng, Xiao-Yong Zhang
2021	—	`ed.`	MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event COMPAY@MICCAI 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
2021	—	`conf`	MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures. MICCAI (1) Ziqi Yu, Yuting Zhai, Xiaoyang Han, Tingying Peng, Xiao-Yong Zhang
2021	J	`jnl`	Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation. CoRR Ye Liu, Sophia J. Wagner, Tingying Peng
2021	J	`jnl`	Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations. CoRR Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
2021	—	`conf`	Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. MICCAI (8) Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
2020	—	`conf`	Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
2020	J	`jnl`	Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
2020	—	`conf`	Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. MICCAI (5) Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr
2019	—	`conf`	Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. MICCAI (1) Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr
2019	—	`conf`	Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. MICCAI (1) Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng
2019	—	`conf`	Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net. ICANN (Workshop) Manish Mishra, Sabine Schmitt, Hans Zischka, Michael K. Strasser, Nassir Navab, Carsten Marr, Tingying Peng
2017	J	`jnl`	Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. IEEE Trans. Medical Imaging Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2017	—	`conf`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2017	J	`jnl`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2016	—	`conf`	Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. MLMI@MICCAI Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
2016	J	`jnl`	Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. CoRR Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
2016	J	`jnl`	Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. IEEE Trans. Medical Imaging Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab
2016	—	`conf`	Structure-based assessment of cancerous mitochondria using deep networks. ISBI Manish Mishra, Sabine Schmitt, Lichao Wang, Michael K. Strasser, Carsten Marr, Nassir Navab, Hans Zischka, Tingying Peng
2015	B	`conf`	Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. ICIP Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2015	—	`conf`	Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. ISBI Sailesh Conjeti, Mehmet Yigitsoy, Tingying Peng, Debdoot Sheet, Jyotirmoy Chatterjee, Christine Bayer, Nassir Navab, Amin Katouzian
2015	—	`conf`	Flexible and Latent Structured Output Learning - Application to Histology. MLMI Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2015	—	`conf`	Structure-preserved color normalization for histological images. ISBI Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab
2015	A*	`conf`	Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. ICCV Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2014	—	`conf`	Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registration-Learning Methodology. WBIR Tingying Peng, Mehmet Yigitsoy, Abouzar Eslami, Christine Bayer, Nassir Navab
2014	—	`conf`	High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. ISBI 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 P. O'Neill, Tingying Peng, Stephen J. Payne, Daniel Rueckert, Dieter Schmalstieg, Michael Moche, Marina Kolesnik, Philipp Stiegler, Rupert H. Portugaller
2014	—	`conf`	Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition. MICCAI (1) Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab
2011	—	`conf`	Mathematical study of the effects of different intrahepatic cooling on thermal ablation zones. EMBC Tingying Peng, David P. O'Neill, Stephen J. Payne
2010	J	`jnl`	Wavelet Phase Synchronization Analysis of Cerebral Blood Flow Autoregulation. IEEE Trans. Biomed. Eng. Tingying Peng, Alexander B. Rowley, Philip N. Ainslie, Marc J. Poulin, Stephen J. Payne