| Ultrasound registration: A review C Che, TS Mathai, J Galeotti Methods 115, 128-143, 2017 | 52 | 2017 |
| Accurate tissue interface segmentation via adversarial pre-segmentation of anterior segment OCT images J Ouyang, TS Mathai, K Lathrop, J Galeotti Biomedical Optics Express 10 (10), 5291-5324, 2019 | 30 | 2019 |
| Confounding factors need to be accounted for in assessing bias by machine learning algorithms P Mukherjee, TC Shen, J Liu, T Mathai, O Shafaat, RM Summers Nature Medicine 28 (6), 1159-1160, 2022 | 22 | 2022 |
| Lymph node detection in T2 MRI with transformers TS Mathai, S Lee, DC Elton, TC Shen, Y Peng, Z Lu, RM Summers Medical imaging 2022: computer-aided diagnosis 12033, 869-873, 2022 | 21 | 2022 |
| Learning to Segment Corneal Tissue Interfaces in OCT Images TS Mathai, K Lathrop, J Galeotti arXiv, 2018 | 20 | 2018 |
| Utilizing longitudinal chest x-rays and reports to pre-fill radiology reports Q Zhu, TS Mathai, P Mukherjee, Y Peng, RM Summers, Z Lu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 14 | 2023 |
| Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory TS Mathai, V Gorantla, J Galeotti International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 13 | 2019 |
| Fast vessel segmentation and tracking in ultra high-frequency ultrasound images TS Mathai, L Jin, V Gorantla, J Galeotti Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 12 | 2018 |
| Universal lesion detection in CT scans using neural network ensembles T Mattikalli, TS Mathai, RM Summers Medical Imaging 2022: Computer-Aided Diagnosis 12033, 878-882, 2022 | 10 | 2022 |
| Detection of lymph nodes in T2 MRI using neural network ensembles TS Mathai, S Lee, DC Elton, TC Shen, Y Peng, Z Lu, RM Summers Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 9 | 2021 |
| Universal lymph node detection in T2 MRI using neural networks TS Mathai, S Lee, TC Shen, Z Lu, RM Summers International journal of computer assisted radiology and surgery 18 (2), 313-318, 2023 | 8 | 2023 |
| Semantic image synthesis for abdominal ct Y Zhuang, B Hou, TS Mathai, P Mukherjee, B Kim, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| Universal lesion detection and classification using limited data and weakly-supervised self-training V Naga, TS Mathai, A Paul, RM Summers Workshop on Medical Image Learning with Limited and Noisy Data, 55-64, 2022 | 6 | 2022 |
| Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study B Hou, TS Mathai, J Liu, C Parnell, RM Summers International journal of computer assisted radiology and surgery, 1-8, 2024 | 4 | 2024 |
| Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports Q Zhu, X Chen, Q Jin, B Hou, TS Mathai, P Mukherjee, X Gao, ... arXiv preprint arXiv:2401.16578, 2024 | 4 | 2024 |
| Universal detection and segmentation of lymph nodes in multi-parametric MRI TS Mathai, S Lee, TC Shen, D Elton, Z Lu, RM Summers International journal of computer assisted radiology and surgery 19 (1), 163-170, 2024 | 4 | 2024 |
| Assessing lesion segmentation bias of neural networks on motion corrupted brain MRI TS Mathai, Y Wang, N Cross International MICCAI Brainlesion Workshop, 143-156, 2020 | 4 | 2020 |
| Automated classification of body MRI sequence type using convolutional neural networks K Helm, TS Mathai, B Kim, P Mukherjee, J Liu, RM Summers Medical Imaging 2024: Computer-Aided Diagnosis 12927, 120-124, 2024 | 3 | 2024 |
| Class imbalance correction for improved universal lesion detection and tagging in ct PD Erickson, TS Mathai, RM Summers Workshop on Medical Image Learning with Limited and Noisy Data, 177-186, 2022 | 3 | 2022 |
| Visualizing the palisades of vogt: limbal registration by surface segmentation TS Mathai, J Galeotti, KL Lathrop 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 3 | 2018 |
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
