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Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study.

, , , , , , , , , , , and . CoRR, (2020)

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Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 41 (7): 1764-1777 (2022)Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study., , , , , , , , , and 2 other author(s). Frontiers Comput. Neurosci., (2020)Brain Cancer Survival Prediction on Treatment-Naïve MRI using Deep Anchor Attention Learning with Vision Transformer., and . ISBI, page 1-5. IEEE, (2022)CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network., , and . ISBI, page 1-5. IEEE, (2023)Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation., , , , , and . ISBI, page 1-6. IEEE, (2023)Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations., and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network., , , , , , , , , and 1 other author(s). MIDL, volume 143 of Proceedings of Machine Learning Research, page 384-398. PMLR, (2021)Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology., , , , , , and . CoRR, (2022)Surgical Phase Recognition in Laparoscopic Cholecystectomy., , , , , and . CoRR, (2022)RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment., , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (6): 2627-2636 (2022)