Steven S. Raman

According to our database, Steven S. Raman authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation.

Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI.

Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung

IEEE Trans. Medical Imaging, 2023

High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution.

Jiahao Lin, Qi Miao, Chuthaporn Surawech, Steven S. Raman, Kai Zhao, Holden H. Wu, Kyunghyun Sung

IEEE Access, 2023

Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy.

Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing.

Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

CoRR, 2022

Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning.

Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

AI-human interactive pipeline with feedback to accelerate medical image annotation.

Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

Federated learning improves site performance in multicenter deep learning without data sharing.

Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold

J. Am. Medical Informatics Assoc., 2021

Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI.

Haoxin Zheng, Qi Miao, Steven S. Raman, Fabien Scalzo, Kyung Hyun Sung

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

Xinzhou Li, Adam S. Young, Steven S. Raman, David S. Lu, Yu-Hsiu Lee, Tsu-Chin Tsao, Holden H. Wu

Int. J. Comput. Assist. Radiol. Surg., 2020

Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation.

Yongkai Liu, Guang Yang, Melina Hosseiny, Afshin Azadikhah, Sohrab Afshari Mirak, Qi Miao, Steven S. Raman, Kyung Hyun Sung

IEEE Access, 2020

2019

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Sepideh Shakeri, Xinran Zhong, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung

IEEE Trans. Medical Imaging, 2019

Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging.

Alan Priester, Holden H. Wu, Pooria Khoshnoodi, Douglas Schneider, Zhaohuan Zhang, Nazanin H. Asvadi, Anthony Sisk, Steven S. Raman, Robert E. Reiter, Warren S. Grundfest, Leonard S. Marks, Shyam Natarajan

IEEE Trans. Biomed. Eng., 2019

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention.

Yongkai Liu, Kyung Hyun Sung, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman

IEEE Access, 2019

Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.

Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI.

Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019