| The brain tumor sequence registration challenge: establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients B Baheti, D Waldmannstetter, S Chakrabarty, H Akbari, M Bilello, ... arXiv preprint arXiv:2112.06979, 2021 | 42 | 2021 |
| MRI-based identification and classification of major intracranial tumor types by using a 3D convolutional neural network: a retrospective multi-institutional analysis S Chakrabarty, A Sotiras, M Milchenko, P LaMontagne, M Hileman, ... Radiology: Artificial Intelligence 3 (5), e200301, 2021 | 36 | 2021 |
| The brain tumor segmentation (BraTS-METS) challenge 2023: Brain metastasis segmentation on pre-treatment MRI AW Moawad, A Janas, U Baid, D Ramakrishnan, L Jekel, K Krantchev, ... ArXiv, 2023 | 24 | 2023 |
| MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5 D hybrid multi-task convolutional neural network S Chakrabarty, P LaMontagne, J Shimony, DS Marcus, A Sotiras Neuro-Oncology Advances 5 (1), vdad023, 2023 | 18 | 2023 |
| Simulation and model verification of shoe embedded piezoelectric energy harvester P Saha, S Goswami, S Chakrabarty, S Sarkar 2014 6th IEEE power india international conference (PIICON), 1-6, 2014 | 15 | 2014 |
| Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images AK Dhara, S Mukhopadhyay, S Chakrabarty, M Garg, N Khandelwal IET Image Processing 10 (9), 631-637, 2016 | 9 | 2016 |
| Preprocessing of clinical neuro-oncology MRI studies for big data applications S Chakrabarty, P LaMontagne, DS Marcus, M Milchenko Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 7 | 2020 |
| Integrative imaging informatics for cancer research: Workflow automation for neuro-oncology (i3cr-wano) S Chakrabarty, SA Abidi, M Mousa, M Mokkarala, I Hren, D Yadav, ... JCO Clinical Cancer Informatics 7, e2200177, 2023 | 4 | 2023 |
| Artificial bee colony (ABC) based variable density sampling scheme for CS-MRI AK Jagadish, S Goswami, P Saha, S Chakrabarty, K Rajgopal 2016 IEEE Region 10 Conference (TENCON), 1254-1257, 2016 | 2 | 2016 |
| AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning S Fan, MR Ponisio, P Xiao, SM Ha, S Chakrabarty, JJ Lee, S Flores, ... Radiology 311 (3), e231442, 2024 | 1 | 2024 |
| Optimal approaches to analyzing functional MRI data in glioma patients KY Park, JS Shimony, S Chakrabarty, AB Tanenbaum, CD Hacker, ... Journal of neuroscience methods 402, 110011, 2024 | 1 | 2024 |
| QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality P Qiu, S Chakrabarty, P Nguyen, SS Ghosh, A Sotiras International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Framing image registration as a landmark detection problem for better representation of clinical relevance D Waldmannstetter, B Wiestler, J Schwarting, I Ezhov, M Metz, S Bakas, ... arXiv preprint arXiv:2308.01318, 2023 | 1 | 2023 |
| Optimal atlas registration and resting state functional architecture in patients with glioblastoma KY Park, JS Shimony, S Chakrabarty, AB Tanenbaum, CD Hacker, ... | 1 | 2022 |
| BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images S Chakrabarty, A Sotiras, M Milchenko, P LaMontagne, C Abraham, ... Medical Imaging 2021: Image Processing 11596, 125-135, 2021 | 1 | 2021 |
| Stereo Orthogonal Feature-mapping transform (SOFT) for stereo matching P Saha, S Chakrabarty, S Goswami, A Chatterjee 2016 IEEE Annual India Conference (INDICON), 1-6, 2016 | 1 | 2016 |
| Performance evaluation of a robust fuzzy noise estimation technique in MRI S Goswami, S Chakrabarty, P Saha, R Chattopadhyay 2015 Annual IEEE India Conference (INDICON), 1-6, 2015 | 1 | 2015 |
| Design of Micro-power Semi-implantable Hearing-aid with Hydraulic Amplification Methodology and Simultaneous resonance bandwidth control technique S Goswami, P Saha, S Chakrabarty, B Chatterjee 2014 IEEE Global Humanitarian Technology Conference-South Asia Satellite …, 2014 | 1 | 2014 |
| Determination of transformer Leakage Inductances by Markov Linear Unbiased Estimator (MLUE) S Chakrabarty, P Saha, S Goswami IEEE CALCON, 2014 | 1 | 2014 |
| AI Segmentation of Vestibular Schwannomas with Radiomic Analysis and Clinical Correlates M Milchenko, K Cross, H Smith, P LaMontagne, S Chakrabarty, K Varagur, ... medRxiv, 2023.06. 15.23291439, 2023 | | 2023 |
Daniel MarcusProfessor of Radiology, Washington University在 wustl.edu 的电子邮件经过验证
