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 (ICCV Workshops, 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 (ISBI, 2019)

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. - Yongkai Liu; Kyung Hyun Sung; Guang Yang 006; Sohrab Afshari Mirak; Melina Hosseiny; Afshin Azadikhah; Xinran Zhong; Robert E. Reiter; Yeejin Lee; Steven S. Raman (IEEE Access, 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)

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)

Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation. - Yongkai Liu; Guang Yang 006; Melina Hosseiny; Afshin Azadikhah; Sohrab Afshari Mirak; Qi Miao; Steven S. Raman; Kyung Hyun Sung (IEEE Access, 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)

Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI. - Haoxin Zheng; Qi Miao; Steven S. Raman; Fabien Scalzo; Kyung Hyun Sung (ISBI, 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 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

AI-human interactive pipeline with feedback to accelerate medical image annotation. - Youngwon Choi; Marlena Garcia; Steven S. Raman; Dieter R. Enzmann; Matthew S. Brown (Computer-Aided Diagnosis, 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 (MIDL, 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)

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 (Computer-Aided Diagnosis, 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 (Image Processing, 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)

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)

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 (WACV, 2024)

Resection Margin Prediction in Pancreatic Ductal Adenocarcinoma: A Multi-Modal Machine Learning Approach Integrating Clinical and Computed Tomography Radiomics Data. - 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 (ISBI, 2025)

STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification. - Irsyad Adam; Tengyue Zhang; Steven S. Raman; Zhuyu Qiu; Brandon Taraku; Hexiang Feng; Sile Wang; Ashwath Radhachandran; Shreeram Athreya; Vedrana Ivezic; Peipei Ping; Corey W. Arnold; et al. (CoRR, 2025)

Platform for Representation and Integration of multimodal Molecular Embeddings. - Erika Yilin Zheng; Yu Yan; Simha Sankar Baradwaj; Ethan Ji; Steven S. Raman; Irsyad Adam; Ding Wang; Alexander Russell Pelletier; Alex A. T. Bui; Wei Wang; Peipei Ping (CoRR, 2025)

Atherosclerosis through Hierarchical Explainable Neural Network Analysis. - Irsyad Adam; Steven S. Raman; Erika Yilin; Ethan Ji; William Speier; Dean Wang; Alex A. T. Bui; Wei Wang; Karol E. Watson; Peipei Ping (CoRR, 2025)