Deep learning in medical imaging and radiation therapy von Sahiner, Berkman, Pezeshk, Aria, Hadjiiski, Lubomir M., Wang, Xiaosong, Drukker, Karen, Cha, Kenny H., Summers, Ronald M., Giger, Maryellen L.

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CAD and AI for breast cancer-recent development and challenges von Chan, Heang-Ping, Samala, Ravi K., Hadjiiski, Lubomir M.

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Computer‐aided diagnosis in the era of deep learning von Chan, Heang‐Ping, Hadjiiski, Lubomir M., Samala, Ravi K.

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Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms von Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Cha, Kenny H, Richter, Caleb D

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Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis von Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Richter, Caleb, Cha, Kenny

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Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets von Samala, Ravi K., Chan, Heang-Ping, Hadjiiski, Lubomir, Helvie, Mark A., Richter, Caleb D., Cha, Kenny H.

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U‐Net based deep learning bladder segmentation in CT urography von Ma, Xiangyuan, Hadjiiski, Lubomir M., Wei, Jun, Chan, Heang‐Ping, Cha, Kenny H., Cohan, Richard H., Caoili, Elaine M., Samala, Ravi, Zhou, Chuan, Lu, Yao

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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets von Cha, Kenny H., Hadjiiski, Lubomir, Samala, Ravi K., Chan, Heang-Ping, Caoili, Elaine M., Cohan, Richard H.

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Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning von Cha, Kenny H., Hadjiiski, Lubomir, Chan, Heang-Ping, Weizer, Alon Z., Alva, Ajjai, Cohan, Richard H., Caoili, Elaine M., Paramagul, Chintana, Samala, Ravi K.

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Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning von Li, Songfeng, Wei, Jun, Chan, Heang-Ping, Helvie, Mark A, Roubidoux, Marilyn A, Lu, Yao, Zhou, Chuan, Hadjiiski, Lubomir M, Samala, Ravi K

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Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images von Wang, Yifan, Zhou, Chuan, Chan, Heang‐Ping, Hadjiiski, Lubomir M., Chughtai, Aamer, Kazerooni, Ella A.

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Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis von Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Richter, Caleb D

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Controlled Drug Delivery Systems for Oral Cancer Treatment-Current Status and Future Perspectives von Ketabat, Farinaz, Pundir, Meenakshi, Mohabatpour, Fatemeh, Lobanova, Liubov, Koutsopoulos, Sotirios, Hadjiiski, Lubomir, Chen, Xiongbiao, Papagerakis, Petros, Papagerakis, Silvana

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Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support von Cha, Kenny H., Hadjiiski, Lubomir M., Cohan, Richard H., Chan, Heang-Ping, Caoili, Elaine M., Davenport, Matthew S., Samala, Ravi K., Weizer, Alon Z., Alva, Ajjai, Kirova-Nedyalkova, Galina, Shampain, Kimberly, Meyer, Nathaniel, Barkmeier, Daniel, Woolen, Sean, Shankar, Prasad R., Francis, Isaac R., Palmbos, Phillip

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A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis von Zhang, Yiheng, Chan, Heang-Ping, Sahiner, Berkman, Wei, Jun, Goodsitt, Mitchell M., Hadjiiski, Lubomir M., Ge, Jun, Zhou, Chuan

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Multi-class deep learning segmentation and automated measurements in periodontal sonograms of a porcine model von Pan, Ying-Chun, Chan, Hsun-Liang, Kong, Xiangbo, Hadjiiski, Lubomir M, Kripfgans, Oliver D

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PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images von Armato, 3rd, Samuel G, Huisman, Henkjan, Drukker, Karen, Hadjiiski, Lubomir, Kirby, Justin S, Petrick, Nicholas, Redmond, George, Giger, Maryellen L, Cha, Kenny, Mamonov, Artem, Kalpathy-Cramer, Jayashree, Farahani, Keyvan

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Enhancing Early Lung Cancer Diagnosis: Predicting Lung Nodule Progression in Follow-Up Low-Dose CT Scan with Deep Generative Model von Wang, Yifan, Zhou, Chuan, Ying, Lei, Chan, Heang-Ping, Lee, Elizabeth, Chughtai, Aamer, Hadjiiski, Lubomir M, Kazerooni, Ella A

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Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation von Zhou, Chuan, Chan, Heang-Ping, Hadjiiski, Lubomir M., Chughtai, Aamer

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Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images von Samala, Ravi K, Chan, Heang-Ping, Lu, Yao, Hadjiiski, Lubomir M, Wei, Jun, Helvie, Mark A

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