Steven S. Raman

26 papers A 1B 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI. Medical Image Anal. Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Parsa Hajipour, Holden H. Wu, Steven S. Raman, Kyunghyun Sung
2025	J	`jnl`	Atherosclerosis through Hierarchical Explainable Neural Network Analysis. CoRR Irsyad Adam, Steven S. Raman, Erika Yilin, Ethan Ji, William Speier, Dean Wang, Alex Bui, Wei Wang, Karol E. Watson, Peipei Ping
2025	J	`jnl`	Platform for Representation and Integration of multimodal Molecular Embeddings. CoRR Erika Yilin Zheng, Yu Yan, Simha Sankar Baradwaj, Ethan Ji, Steven S. Raman, Irsyad Adam, Ding Wang, Alexander Russell Pelletier, Alex Bui, Wei Wang, Peipei Ping
2025	—	`conf`	Resection Margin Prediction in Pancreatic Ductal Adenocarcinoma: A Multi-Modal Machine Learning Approach Integrating Clinical and Computed Tomography Radiomics Data. ISBI Sohaib Naim, Linda Ye, Qi Miao, Ida Sonni, Chuthaporn Surawech, Ali Bassir, Yassin Kortam, Jena N. Depetris, Steven S. Raman, Oscar J. Hines, Kyunghyun Sung
2025	J	`jnl`	STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification. CoRR Irsyad Adam, Tengyue Zhang, Steven S. Raman, Zhuyu Qiu, Brandon Taraku, Hexiang Feng, Sile Wang, Ashwath Radhachandran, Shreeram S. Athreya, Vedrana Ivezic, Peipei Ping, Corey W. Arnold, William Speier
2024	A	`conf`	CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation. WACV Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
2023	J	`jnl`	CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI. IEEE Trans. Medical Imaging Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung
2023	J	`jnl`	CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation. CoRR Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
2023	J	`jnl`	High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution. IEEE Access Jiahao Lin, Qi Miao, Chuthaporn Surawech, Steven S. Raman, Kai Zhao, Holden H. Wu, Kyunghyun Sung
2023	—	`conf`	Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. Computer-Aided Diagnosis Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown
2023	B	`conf`	Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. Image Processing Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown
2022	—	`conf`	AI-human interactive pipeline with feedback to accelerate medical image annotation. Computer-Aided Diagnosis Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown
2022	—	`conf`	Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning. MIDL Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold
2022	J	`jnl`	CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI. CoRR Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung
2022	J	`jnl`	Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology. CoRR Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson
2021	J	`jnl`	Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 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
2021	—	`conf`	Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI. ISBI Haoxin Zheng, Qi Miao, Steven S. Raman, Fabien Scalzo, Kyung Hyun Sung
2020	J	`jnl`	Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions. Int. J. Comput. Assist. Radiol. Surg. Xinzhou Li, Adam S. Young, Steven S. Raman, David S. Lu, Yu-Hsiu Lee, Tsu-Chin Tsao, Holden H. Wu
2020	J	`jnl`	Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation. IEEE Access Yongkai Liu, Guang Yang, Melina Hosseiny, Afshin Azadikhah, Sohrab Afshari Mirak, Qi Miao, Steven S. Raman, Kyung Hyun Sung
2019	J	`jnl`	Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. IEEE Access Yongkai Liu, Kyung Hyun Sung, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman
2019	J	`jnl`	Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention. CoRR Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman, Kyung Hyun Sung
2019	J	`jnl`	Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. IEEE Trans. Medical Imaging Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Sepideh Shakeri, Xinran Zhong, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
2019	—	`conf`	Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. ISBI Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
2019	—	`conf`	Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. ICCV Workshops Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
2019	J	`jnl`	Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI. CoRR Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
2019	J	`jnl`	Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 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