Generalization error analysis: deep convolutional neural network in mammography. - Caleb D. Richter; Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Kenny H. Cha (Computer-Aided Diagnosis, 2018)

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Caleb Richter; Kenny H. Cha (Computer-Aided Diagnosis, 2018)

Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Caleb Richter; Kenny H. Cha (Computer-Aided Diagnosis, 2018)

Analysis of deep convolutional features for detection of lung nodules in computed tomography. - Ravi K. Samala; Heang-Ping Chan; Caleb Richter; Lubomir M. Hadjiiski; Chuan Zhou 002; Jun Wei 002 (Computer-Aided Diagnosis, 2019)

Deep learning based bladder cancer treatment response assessment. - Eric Wu; Lubomir M. Hadjiiski; Ravi K. Samala; Heang-Ping Chan; Kenny H. Cha; Caleb Richter; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer (Computer-Aided Diagnosis, 2019)

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Caleb D. Richter; Kenny H. Cha (IEEE Trans. Medical Imaging, 2019)