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G-ID: Identifying 3D Prints Using Slicing Parameters., , , , , , and . CHI, page 1-13. ACM, (2020)Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109512A. SPIE, (2019)SliceHub: Augmenting Shared 3D Model Repositories with Slicing Results for 3D Printing., , , , , and . CoRR, (2021)Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers., , , , , , , , , and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Demonstration of G-ID: Identifying 3D Prints Using Slicing Parameters., , , , , , and . CHI Extended Abstracts, page 1-4. ACM, (2020)Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109512R. SPIE, (2019)Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 1131530. SPIE, (2020)Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI., , , , , , , , , and 7 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Third surface: an augmented world wide web for the physical world., , , , , and . UIST (Adjunct Volume), page 71-72. ACM, (2014)