Ravi Samala
Orcid: 0000-0002-6661-4801
According to our database1,
Ravi Samala
authored at least 44 papers
between 2007 and 2023.
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Bibliography
2023
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Deep learning texture analysis for the assessment of trabecular bone stiffness in CT.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022
2021
Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.
IEEE Trans. Medical Imaging, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Analysis of deep convolutional features for detection of lung nodules in computed tomography.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Bladder cancer treatment response assessment using deep learning in CT with transfer learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Reference state estimation of breast computed tomography for registration with digital mammography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
First and second-order features for detection of masses in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
False positive reduction of microcalcification cluster detection in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007