Cem M. Deniz

According to our database, Cem M. Deniz authored at least 13 papers between 2017 and 2026.

Collaborative distances:

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

2026

Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data.

Haresh Rengaraj Rajamohan, Yuxuan Chen, Kyunghyun Cho, Cem M. Deniz

CoRR, March, 2026

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction.

Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Gabe Schulman, Huizhen Jin, Shengduo Li, Yixuan Wang, Huidi Yang, Kyunghyun Cho, Cem M. Deniz, Narges Razavian

CoRR, March, 2026

2025

A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis.

Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

Signal Image Video Process., October, 2025

Foundation Models for Clinical Records at Health System Scale.

Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Kyunghyun Cho, Cem M. Deniz, Narges Razavian

CoRR, July, 2025

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence.

Ozkan Cigdem, Eisa Hedayati, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Gregory Chang, Richard Kijowski, Cem M. Deniz

Comput. Biol. Medicine, 2025

2024

Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression.

Haresh Rengaraj Rajamohan, Richard Kijowski, Kyunghyun Cho, Cem M. Deniz

CoRR, 2024

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging.

Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

CoRR, 2024

HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis.

Haoxu Huang, Cem M. Deniz, Kyunghyun Cho, Sumit Chopra, Divyam Madaan

Proceedings of the Machine Learning for Health, 2024

2023

Radiology Reports Improve Visual Representations Learned from Radiographs.

Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz

Proceedings of the Medical Imaging with Deep Learning, 2023

2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.

Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

CoRR, 2020

Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation.

Jimin Tan, Bofei Zhang, Kyunghyun Cho, Gregory Chang, Cem M. Deniz

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative.

Bofei Zhang, Jimin Tan, Kyunghyun Cho, Gregory Chang, Cem M. Deniz

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2017

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Cem M. Deniz, Spencer Hallyburton, Arakua Welbeck, Stephen Honig, Kyunghyun Cho, Gregory Chang

CoRR, 2017