| Medical image synthesis with context-aware generative adversarial networks D Nie*, R Trullo*, J Lian, C Petitjean, S Ruan, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 864 | 2017 |
| Medical image synthesis with deep convolutional adversarial networks D Nie*, R Trullo*, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018 | 656 | 2018 |
| Segmentation of organs at risk in thoracic CT images using a sharpmask architecture and conditional random fields R Trullo, C Petitjean, S Ruan, B Dubray, D Nie, D Shen 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 106 | 2017 |
| Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, C Petitjean, S Ruan, D Shen arXiv preprint arXiv:1612.05362, 2016 | 68 | 2016 |
| Joint segmentation of multiple thoracic organs in CT images with two collaborative deep architectures R Trullo, C Petitjean, D Nie, D Shen, S Ruan Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 63 | 2017 |
| Descriptive modeling of textiles using FE simulations and deep learning A Mendoza*, R Trullo*, Y Wielhorski Composites Science and Technology 213, 108897, 2021 | 46 | 2021 |
| Multiorgan segmentation using distance-aware adversarial networks R Trullo, C Petitjean, B Dubray, S Ruan Journal of Medical Imaging 6 (1), 014001-014001, 2019 | 45 | 2019 |
| Segmentation of craniomaxillofacial bony structures from MRI with a 3D deep-learning based cascade framework D Nie, L Wang, R Trullo, J Li, P Yuan, J Xia, D Shen Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 33 | 2017 |
| Fully automated esophagus segmentation with a hierarchical deep learning approach R Trullo, C Petitjean, D Nie, D Shen, S Ruan 2017 IEEE International Conference on Signal and Image Processing …, 2017 | 25 | 2017 |
| Erratum: Medical Image Synthesis with Deep Convolutional Adversarial Networks (IEEE Trans. Biomed. Eng.(2018) 65: 12 (2720-2730 D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 67 (9), 2706, 2020 | 4 | 2020 |
| Design of Artificial Neural Networks for damage estimation of composite laminates: Application to delamination failures in ply drops A Mendoza, O Friderikos, R Trullo, E Baranger Composite Structures 304, 116320, 2023 | 3 | 2023 |
| Image translation based nuclei segmentation for immunohistochemistry images R Trullo, QA Bui, Q Tang, R Olfati-Saber MICCAI Workshop on Deep Generative Models, 87-96, 2022 | 3 | 2022 |
| Interactive definition and tuning of one-class classifiers for document image classification N Girard, R Trullo, S Barrat, N Ragot, JY Ramel 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 358-363, 2016 | 3 | 2016 |
| Classification of the Tumor Immune Microenvironment Using Machine-Learning-Based CD8 Immunophenotyping As a Potential Biomarker for Immunotherapy and TGF-β Blockade in Nonsmall … RJ Pomponio, H Wang, SM Bean, Q Tang, R Trullo, JS Lee, B Demers, ... AI in Precision Oncology 1 (2), 106-118, 2024 | 2 | 2024 |
| Quantification of TGFβ protein levels and digital pathology-based immune phenotyping reveal biomarkers for TGF-β blockade therapy patient selection in NSCLC R Pomponio, C Hendricks, SM Bean, H Wang, S Brutus, C Biddle-Snead, ... Cancer Research 82 (12_Supplement), 5099-5099, 2022 | 1 | 2022 |
| Multi-modal isointense infant brain image segmentation with deep learning based methods D Nie, L Wang, R Trullo, E Adeli, W Lin, D Shen ISMRM, 2017 | 1 | 2017 |
| Advanced Transformer-Based System to Localize and Predict Atopic Dermatitis R Zhang, W Zhao, B Qi, E Pochet, Y Yang, J Xiang, R Trullo, O Chow, ... 2024 IEEE International Conference on Computer Vision and Machine …, 2024 | | 2024 |
| Lymphocytes subtyping on H&E slides with automatic labelling through same-tissue stained ImmunoFluorescence images E Pochet, LC Ayestas, A Casse, Q Tang, R Trullo MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL), 2024 | | 2024 |
| Automated Scoring of Patient Endoscopy Videos Using Deep Learning Techniques: A Promising Approach for Clinical Trials in Inflammatory Bowel Disease S Badalamenti, H Sarker, W Zhao, Q Bozhao, E Pochet, R Trullo, Q Tang, ... JOURNAL OF CROHNS & COLITIS 18, I968-I968, 2024 | | 2024 |
| P487 Automated Scoring of Patient Endoscopy Videos Using Deep Learning Techniques: A Promising Approach for Clinical Trials in Inflammatory Bowel Disease S Badalamenti, H Sarker, W Zhao, Q Bozhao, E Pochet, R Trullo, Q Tang, ... Journal of Crohn's and Colitis 18 (Supplement_1), i975-i975, 2024 | | 2024 |