Jeffrey N. Chiang

According to our database, Jeffrey N. Chiang authored at least 15 papers between 2016 and 2025.

Collaborative distances:

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

2025

Clinical ModernBERT: An efficient and long context encoder for biomedical text.

Simon A. Lee, Anthony Wu, Jeffrey N. Chiang

CoRR, April, 2025

Clinical decision support using pseudo-notes from multiple streams of EHR data.

Simon A. Lee, Sujay Jain, Alex Chen, Kyoka Ono, Arabdha Biswas, Ákos Rudas, Jennifer Fang, Jeffrey N. Chiang

npj Digit. Medicine, 2025

2024

FEET: A Framework for Evaluating Embedding Techniques.

Simon A. Lee, John Lee, Jeffrey N. Chiang

CoRR, 2024

TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU.

Rosemary Y. He, Jeffrey N. Chiang

CoRR, 2024

Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation.

Simon A. Lee, Trevor J. Brokowski, Jeffrey N. Chiang

CoRR, 2024

Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME).

Simon A. Lee, Sujay Jain, Alex Chen, Arabdha Biswas, Jennifer Fang, Ákos Rudas, Jeffrey N. Chiang

CoRR, 2024

An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method.

Ravi Pal, Ákos Rudas, Sungsoo Kim, Jeffrey N. Chiang, Anna Barney, Maxime Cannesson

Comput. Methods Programs Biomed., 2024

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models.

Yu Yang, Siddhartha Mishra, Jeffrey N. Chiang, Baharan Mirzasoleiman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A signal processing tool for extracting features from arterial blood pressure and photoplethysmography waveforms.

R. Pal, Ákos Rudas, S. Kim, Jeffrey N. Chiang, Maxime Cannesson

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2021

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging.

Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, Eran Halperin

npj Digit. Medicine, 2021

Distributed Code for Semantic Relations Predicts Neural Similarity during Analogical Reasoning.

Jeffrey N. Chiang, Yujia Peng, Hongjing Lu, Keith J. Holyoak, Martin M. Monti

J. Cogn. Neurosci., 2021

2020

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation.

Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding

Medical Image Anal., 2020

2019

Predicting Fluid Intelligence Using Anatomical Measures Within Functionally Defined Brain Networks.

Jeffrey N. Chiang, Nicco Reggente, John Dell'Italia, Zhong Sheng Zheng, Evan S. Lutkenhoff

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

2016

Neural adaptation in pSTS correlates with perceptual aftereffects to biological motion and with autistic traits.

Steven M. Thurman, Jeroen J. A. van Boxtel, Martin M. Monti, Jeffrey N. Chiang, Hongjing Lu

NeuroImage, 2016

Neural representations of magnitude for natural and rational numbers.

Melissa Dewolf, Jeffrey N. Chiang, Miriam Bassok, Keith J. Holyoak, Martin M. Monti

NeuroImage, 2016