Caleb D. Richter

According to our database, Caleb D. Richter authored at least 6 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

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, Jun Wei

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

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

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.

Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Generalization error analysis: deep convolutional neural network in mammography.

Caleb D. Richter, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018