Ivan Tarapov

According to our database, Ivan Tarapov authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification.

Xue Li, Jameson Merkow, Noel C. F. Codella, Alberto Santamaría-Pang, Naiteek Sangani, Alexander Ersoy, Christopher Burt, John W. Garrett, Richard J. Bruce, Joshua D. Warner, Tyler J. Bradshaw, Ivan Tarapov, Matthew P. Lungren, Alan B. McMillan

CoRR, May, 2025

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation.

Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad, Alberto Santamaría-Pang, Ho Hin Lee, Ivan Tarapov, Kyle See, Md Shah Imran, Antika Roy, Yaser Pourmohammadi Fallah, Navid Asadizanjani, Reza Forghani

CoRR, March, 2025

Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations.

Ho Hin Lee, Alberto Santamaría-Pang, Jameson Merkov, Matthew P. Lungren, Ivan Tarapov

CoRR, March, 2025

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation.

Alberto Santamaría-Pang, Frank Tuan, Ross Campbell, Cindy Zhang, Ankush Jindal, Roopa Surapur, Brad Holloman, Deanna Hanisch, Rae Buckley, Carisa Cooney, Ivan Tarapov, Kimberly S. Peairs, Brian Hasselfeld, Peter Greene

CoRR, March, 2025

2024

Scalable Drift Monitoring in Medical Imaging AI.

Jameson Merkow, Felix J. Dorfner, Xiyu Yang, Alexander Ersoy, Giridhar Dasegowda, Mannudeep K. Kalra, Matthew P. Lungren, Christopher P. Bridge, Ivan Tarapov

CoRR, 2024

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging.

Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie L. Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John W. Garrett, Alan B. McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei

CoRR, 2024

Atlas-Based Labeling of Resting-State fMRI.

Hrishikesh Kambli, Alberto Santamaría-Pang, Ivan Tarapov, Elham Beheshtian, Licia P. Luna, Haris I. Sair, Craig K. Jones

Brain Connect., 2024

2023

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology.

Asma Ben Abacha, Alberto Santamaría-Pang, Ho Hin Lee, Jameson Merkow, Qin Cai, Surya Teja Devarakonda, Abdullah Islam, Julia Gong, Matthew P. Lungren, Thomas Lin, Noel C. F. Codella, Ivan Tarapov

CoRR, 2023

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query.

Ho Hin Lee, Alberto Santamaría-Pang, Jameson Merkow, Ozan Oktay, Fernando Pérez-García, Javier Alvarez-Valle, Ivan Tarapov

CoRR, 2023

Deep Labeling of fMRI Brain Networks.

Ammar Ahmed Pallikonda Latheef, Sejal Ghate, Zhipeng Hui, Alberto Santamaría-Pang, Ivan Tarapov, Haris I. Sair, Craig K. Jones

CoRR, 2023

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI.

Jameson Merkow, Arjun Soin, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Christopher P. Bridge, Xiyu Yang, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI.

Arjun Soin, Jameson Merkow, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren

CoRR, 2022

Deep Labeling of fMRI Brain Networks Using Cloud Based Processing.

Sejal Ghate, Alberto Santamaría-Pang, Ivan Tarapov, Haris I. Sair, Craig K. Jones

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022