| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Ta. Distance guided generative adversarial network for explainable medical image classifications. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. vol 118. 2024-10-19. PMID:39426341. |
the first way is vertical distance gan (verdisgan) where the inter-domain generation is conditioned on the vertical distances. |
2024-10-19 |
2024-10-22 |
Not clear |
| Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Ta. Distance guided generative adversarial network for explainable medical image classifications. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. vol 118. 2024-10-19. PMID:39426341. |
the second way is horizontal distance gan (hordisgan) where the intra-domain generation is conditioned on the horizontal distances. |
2024-10-19 |
2024-10-22 |
Not clear |
| Phyllis M Thangaraj, Sumukh Vasisht Shankar, Sicong Huang, Girish Nadkarni, Bobak Mortazavi, Evangelos K Oikonomou, Rohan Kher. A Novel Digital Twin Strategy to Examine the Implications of Randomized Control Trials for Real-World Populations. medRxiv : the preprint server for health sciences. 2024-04-08. PMID:38585929. |
we developed a statistically informed generative adversarial network (gan) model, rct-twin-gan, that leverages relationships between covariates and outcomes and generates a digital twin of an rct (rct-twin) conditioned on covariate distributions from a second patient population. |
2024-04-08 |
2024-04-10 |
Not clear |
| Yasmina Al Khalil, Aymen Ayaz, Cristian Lorenz, Jürgen Weese, Josien Pluim, Marcel Breeuwe. Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. vol 112. 2024-01-21. PMID:38245925. |
the proposed gan is conditioned on auxiliary brain tissue and tumor segmentation masks, allowing us to attain better accuracy and control of tissue appearance during synthesis. |
2024-01-21 |
2024-01-24 |
Not clear |
| Ghislain St-Yves, Thomas Naselari. Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images. Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics. vol 2018. 2023-06-19. PMID:37333993. |
we consider two challenges of this approach: first, given that gans require far more data to train than is typically collected in an fmri experiment, how do we obtain enough samples to train a gan that is conditioned on brain activity? |
2023-06-19 |
2023-08-14 |
Not clear |
| Chenglong Wang, Guanghan Huang, Zhiyuan Huang, Weiming H. Conditional TransGAN-Based Data Augmentation for PCB Electronic Component Inspection. Computational intelligence and neuroscience. vol 2023. 2023-01-20. PMID:36660560. |
the design of ctransgan brings together the merits of both conditional gan and transgan, allowing a trained model to generate high-quality synthetic images conditioned on the class embeddings. |
2023-01-20 |
2023-08-14 |
Not clear |
| Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Seth. Perceptual cGAN for MRI Super-resolution. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36085765. |
in this paper, we present an sr technique for mr images that is based on generative adversarial networks (gans), which have proven to be quite useful in producing sharp-looking details in sr. we introduce a conditional gan with perceptual loss, which is conditioned upon the input low-resolution image, which improves the performance for isotropic and anisotropic mri super-resolution. |
2022-09-10 |
2023-08-14 |
Not clear |
| b' Thirza Dado, Ya\\xc4\\x9fmur G\\xc3\\xbc\\xc3\\xa7l\\xc3\\xbct\\xc3\\xbcrk, Luca Ambrogioni, Gabri\\xc3\\xablle Ras, Sander Bosch, Marcel van Gerven, Umut G\\xc3\\xbc\\xc3\\xa7l\\xc3\\xb. Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space. Scientific reports. vol 12. issue 1. 2022-01-08. PMID:34997012.' |
as such, these latents (conditioned on the gan) are used as the in-between feature representations underlying the perceived images that can be predicted in neural decoding for (re-)generation of the originally perceived stimuli, leading to the most accurate reconstructions of perception to date. |
2022-01-08 |
2023-08-13 |
human |
| Saba Momeni, Amir Fazlollahi, Leo Lebrat, Paul Yates, Christopher Rowe, Yongsheng Gao, Alan Wee-Chung Liew, Olivier Salvad. Generative Model of Brain Microbleeds for MRI Detection of Vascular Marker of Neurodegenerative Diseases. Frontiers in neuroscience. vol 15. 2022-01-03. PMID:34975381. |
in this study, we present a novel generative adversarial network (gan) that has been trained to generate three-dimensional lesions, conditioned by volume and location. |
2022-01-03 |
2023-08-13 |
Not clear |
| Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgan. Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks. Journal of imaging. vol 7. issue 8. 2021-10-29. PMID:34460769. |
therefore, we trained a generative adversarial network (gan) with a separate auxiliary classifier (ac) network to generate synthetic mr knee images conditioned on various acquisition parameters (repetition time, echo time, and image orientation). |
2021-10-29 |
2023-08-13 |
Not clear |
| Yuan Xue, Jiarong Ye, Qianying Zhou, L Rodney Long, Sameer Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C Cheng, Xiaolei Huan. Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Medical image analysis. vol 67. 2021-06-23. PMID:33080509. |
to mitigate these issues, we propose a carefully designed conditional gan model, namely histogan, for synthesizing realistic histopathology image patches conditioned on class labels. |
2021-06-23 |
2023-08-13 |
Not clear |
| Daniel Sáez Trigueros, Li Meng, Margaret Hartnet. Generating photo-realistic training data to improve face recognition accuracy. Neural networks : the official journal of the International Neural Network Society. vol 134. 2021-03-23. PMID:33291019. |
this is done by training an embedding network that maps discrete identity labels to an identity latent space that follows a simple prior distribution, and training a gan conditioned on samples from that distribution. |
2021-03-23 |
2023-08-13 |
human |
| Matthew Berger, Jixian Li, Joshua A Levin. A Generative Model for Volume Rendering. IEEE transactions on visualization and computer graphics. vol 25. issue 4. 2019-11-20. PMID:29993811. |
we use the generative adversarial network (gan) framework to compute a model from a large collection of volume renderings, conditioned on (1) viewpoint and (2) transfer functions for opacity and color. |
2019-11-20 |
2023-08-13 |
Not clear |
| Xiaoying Guo, Hiroko Oshima, Takanori Kitmura, Makoto M Taketo, Masanobu Oshim. Stromal fibroblasts activated by tumor cells promote angiogenesis in mouse gastric cancer. The Journal of biological chemistry. vol 283. issue 28. 2008-08-28. PMID:18495668. |
importantly, the alpha-smooth muscle actin index in cultured fibroblasts increased significantly when stimulated with the conditioned medium of gan mouse tumor cells, indicating that gastric tumor cells activate stromal fibroblasts. |
2008-08-28 |
2023-08-12 |
mouse |
| Xiaoying Guo, Hiroko Oshima, Takanori Kitmura, Makoto M Taketo, Masanobu Oshim. Stromal fibroblasts activated by tumor cells promote angiogenesis in mouse gastric cancer. The Journal of biological chemistry. vol 283. issue 28. 2008-08-28. PMID:18495668. |
furthermore, conditioned medium of gan mouse tumor cells induced vegfa expression both in embryonic and gastric fibroblasts, which further accelerated the tube formation of human umbilical vein endothelial cells in vitro. |
2008-08-28 |
2023-08-12 |
mouse |
| G I Shul'gina, I Iu Liapichev. [The modelling of the process of image-sequence fixation and reproduction in a projective-associative network made up of excitatory neuron-like elements]. Zhurnal vysshei nervnoi deiatelnosti imeni I P Pavlova. vol 41. issue 5. 1992-02-12. PMID:1662434. |
possibility was shown of restoration of images succession fixed in the network on the basis of the principle of chain conditioned reflexes provided a successive change of reinforcing gan elements by means of the decrease of the threshold of their activation. |
1992-02-12 |
2023-08-11 |
Not clear |