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Sweet-spot training for early esophageal cancer detection., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851B. SPIE, (2016)Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems., , and . IEEE Access, (2020)Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus., , , , , , , and . ICIP, page 66-70. IEEE, (2021)The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation., , , , and . ISBI, page 74-78. IEEE, (2019)Supportive automatic annotation of early esophageal cancer using local gabor and color features., , , and . Neurocomputing, (2014)Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry., , and . Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 97860D. SPIE, (2016)Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network., , , , , , , , and . CaPTion@MICCAI, volume 13581 of Lecture Notes in Computer Science, page 108-117. Springer, (2022)Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows., , , , and . CaPTion@MICCAI, volume 13581 of Lecture Notes in Computer Science, page 99-107. Springer, (2022)Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks., , , , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131315. SPIE, (2020)