Albert E. Kim

According to our database, Albert E. Kim authored at least 10 papers between 2008 and 2025.

Collaborative distances:

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

2025

DBT-DINO: Towards Foundation model based analysis of Digital Breast Tomosynthesis.

Felix J. Dorfner, Manon A. Dorster, Ryan Connolly, Oscar Gentilhomme, Edward Gibbs, Steven Graham, Seth Wander, Thomas Schultz, Manisha Bahl, Dania Daye, Albert E. Kim, Christopher P. Bridge

CoRR, December, 2025

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging.

Manon A. Dorster, Felix J. Dorfner, Mason C. Cleveland, Melisa S. Guelen, Jay B. Patel, Dania Daye, Jean-Philippe Thiran, Albert E. Kim, Christopher P. Bridge

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

Labels Facilitate Categorical Perception Effects during Novel Category Learning.

Andrew Mertens, Eliana Colunga, Albert E. Kim

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Distributional learning over meaningful words facilitates semantic inferences about previously unknown words.

Abigail Laver, Heesu Yun, Albert E. Kim, John C. Trueswell

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology.

Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina Viktoria Hoebel, Mason C. Cleveland, Syed Rakin Ahmed, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge, Albert E. Kim

CoRR, 2024

Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports.

Felix J. Dorfner, Liv Jürgensen, Leonhard Donle, Fares Al Mohamad, Tobias R. Bodenmann, Mason C. Cleveland, Felix Busch, Lisa C. Adams, James Sato, Thomas Schultz, Albert E. Kim, Jameson Merkow, Keno K. Bressem, Christopher P. Bridge

CoRR, 2024

Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases.

Tobias R. Bodenmann, Nelson Gil, Felix J. Dorfner, Mason C. Cleveland, Jay B. Patel, Shreyas Bhat Brahmavar, Melisa S. Guelen, Dagoberto Pulido-Arias, Jayashree Kalpathy-Cramer, Jean-Philippe Thiran, Bruce R. Rosen, Elizabeth R. Gerstner, Albert E. Kim, Christopher P. Bridge

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

2023

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging.

Jay B. Patel, Syed Rakin Ahmed, Ken Chang, Praveer Singh, Mishka Gidwani, Katharina Hoebel, Albert E. Kim, Christopher P. Bridge, Chung-Jen Teng, Xiaomei Li, Gongwen Xu, Megan McDonald, Ayal Aizer, Wenya Linda Bi, K. Ina Ly, Bruce Rosen, Priscilla K. Brastianos, Raymond Y. Huang, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Is this good enough? On expert perception of brain tumor segmentation quality.

Katharina Hoebel, Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang, Jason Johnson, Albert E. Kim, K. Ina Ly, Ken Chang, Jay B. Patel, Marco Pinho, Tracy Batchelor, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer

Proceedings of the Medical Imaging 2022: Image Perception, 2022

2008

Figurative Language: "Meaning" is Often More than Just a Sum of the Parts.

Les Sikos, Susan Windisch Brown, Albert E. Kim, Laura A. Michaelis, Martha Palmer

Proceedings of the Biologically Inspired Cognitive Architectures, 2008