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Tingying Peng
Tingying Peng
Groupleader at Helmholtz AI, Helmholtz Zentrum Muechen
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Structure-preserving color normalization and sparse stain separation for histological images
A Vahadane, T Peng, A Sethi, S Albarqouni, L Wang, M Baust, K Steiger, ...
IEEE transactions on medical imaging 35 (8), 1962-1971, 2016
3212016
A BaSiC tool for background and shading correction of optical microscopy images
T Peng, K Thorn, T Schroeder, L Wang, FJ Theis, C Marr, N Navab
Nature communications 8 (1), 1-7, 2017
1582017
BACE inhibition-dependent repair of Alzheimer’s pathophysiology
AD Keskin, M Kekuš, H Adelsberger, U Neumann, DR Shimshek, B Song, ...
Proceedings of the National Academy of Sciences 114 (32), 8631-8636, 2017
822017
A three-state mathematical model of hyperthermic cell death
DP O’Neill, T Peng, P Stiegler, U Mayrhauser, S Koestenbauer, ...
Annals of biomedical engineering 39 (1), 570-579, 2011
712011
Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours
S Payne, R Flanagan, M Pollari, T Alhonnoro, C Bost, D O'Neill, T Peng, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2011
612011
Structure-preserved color normalization for histological images
A Vahadane, T Peng, S Albarqouni, M Baust, K Steiger, AM Schlitter, ...
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1012-1015, 2015
602015
Multivariate system identification for cerebral autoregulation
T Peng, AB Rowley, PN Ainslie, MJ Poulin, SJ Payne
Annals of biomedical engineering 36 (2), 308-320, 2008
552008
Wavelet phase synchronization analysis of cerebral blood flow autoregulation
T Peng, AB Rowley, PN Ainslie, MJ Poulin, SJ Payne
IEEE Transactions on Biomedical Engineering 57 (4), 960-968, 2010
472010
A two-equation coupled system for determination of liver tissue temperature during thermal ablation
T Peng, DP O’Neill, SJ Payne
International Journal of Heat and Mass Transfer 54 (9-10), 2100-2109, 2011
452011
The effects of age on the spontaneous low-frequency oscillations in cerebral and systemic cardiovascular dynamics
T Peng, PN Ainslie, JD Cotter, C Murrell, K Thomas, MJA Williams, ...
Physiological measurement 29 (9), 1055, 2008
332008
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms
E Moebel, A Martinez-Sanchez, L Lamm, RD Righetto, W Wietrzynski, ...
Nature methods 18 (11), 1386-1394, 2021
252021
Multi-task learning of a deep k-nearest neighbour network for histopathological image classification and retrieval
T Peng, M Boxberg, W Weichert, N Navab, C Marr
International Conference on Medical Image Computing and Computer-Assisted …, 2019
212019
The effects of respiratory CO2 fluctuations in the resting-state BOLD signal differ between eyes open and eyes closed
T Peng, R Niazy, SJ Payne, RG Wise
Magnetic resonance imaging 31 (3), 336-345, 2013
212013
Mathematical modeling of thermal ablation
SJ Payne, T Peng, DP O'Neill
Critical Reviews™ in Biomedical Engineering 38 (1), 2010
202010
Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy
A Sadafi, N Koehler, A Makhro, A Bogdanova, N Navab, C Marr, T Peng
International Conference on Medical Image Computing and Computer-Assisted …, 2019
162019
Shading correction for whole slide image using low rank and sparse decomposition
T Peng, L Wang, C Bayer, S Conjeti, M Baust, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2014
132014
Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks
G Bortsova, G Tulder, F Dubost, T Peng, N Navab, A Lugt, D Bos, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
122017
Structure-based assessment of cancerous mitochondria using deep networks
M Mishra, S Schmitt, L Wang, MK Strasser, C Marr, N Navab, H Zischka, ...
2016 IEEE 13Th International Symposium on Biomedical Imaging (ISBI), 545-548, 2016
112016
Attention based multiple instance learning for classification of blood cell disorders
A Sadafi, A Makhro, A Bogdanova, N Navab, T Peng, S Albarqouni, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
102020
Weakly-supervised structured output learning with flexible and latent graphs using high-order loss functions
G Carneiro, T Peng, C Bayer, N Navab
Proceedings of the IEEE international conference on computer vision, 648-656, 2015
102015
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