Steven S. Raman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Medical Image Annotation

Multiple Instance

Registration Accuracy

Magnetic Resonance

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation. WACV (2024)
Jiahao Lin, Qi Miao, Chuthaporn Surawech, Steven S. Raman, Kai Zhao, Holden H. Wu, Kyunghyun Sung
High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution. IEEE Access 11 (2023)
Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI. IEEE Trans. Medical Imaging 42 (1) (2023)
Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown
Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. Medical Imaging: Computer-Aided Diagnosis (2023)
Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown
Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. Medical Imaging: Image Processing (2023)
Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation. CoRR (2023)
Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown
AI-human interactive pipeline with feedback to accelerate medical image annotation. Medical Imaging: Computer-Aided Diagnosis (2022)
Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI. CoRR (2022)
Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold
Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning. MIDL (2022)
Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson
Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology. CoRR (2022)
Haoxin Zheng, Qi Miao, Steven S. Raman, Fabien Scalzo, Kyung Hyun Sung
Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI. ISBI (2021)
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
Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Xinzhou Li, Adam S. Young, Steven S. Raman, David S. Lu, Yu-Hsiu Lee, Tsu-Chin Tsao, Holden H. Wu
Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions. Int. J. Comput. Assist. Radiol. Surg. 15 (10) (2020)
Yongkai Liu, Guang Yang, Melina Hosseiny, Afshin Azadikhah, Sohrab Afshari Mirak, Qi Miao, Steven S. Raman, Kyung Hyun Sung
Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation. IEEE Access 8 (2020)
Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Sepideh Shakeri, Xinran Zhong, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. IEEE Trans. Medical Imaging 38 (11) (2019)
Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI. CoRR (2019)
Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. ICCV Workshops (2019)
Yongkai Liu, Kyung Hyun Sung, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. IEEE Access 7 (2019)
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
Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. ISBI (2019)
Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman, Kyung Hyun Sung
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention. CoRR (2019)