Caleb D. Richter

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2019, IEEE Transactions on Medical Imaging.

Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2019, Tomography.

Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2018, Physics in medicine and biology.

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2017, Physics in medicine and biology.

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2018, Medical Imaging.

Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Physics in medicine and biology.

Analysis of deep convolutional features for detection of lung nodules in computed tomography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2019, Medical Imaging.

Generalization error analysis: deep convolutional neural network in mammography

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2018, Medical Imaging.

Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2018, Medical Imaging.