Daniel Low

According to our database, Daniel Low authored at least 17 papers between 2006 and 2026.

Collaborative distances:

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

2026

CoRe-BT: A Multimodal Radiology-Pathology-Text Benchmark for Robust Brain Tumor Typing.

Juampablo Heras Rivera, Daniel Low, Xavier Xiong, Jacob Ruzevick, Daniel D. Child, Wen-Wai Yim, Mehmet Kurt, Asma Ben Abacha

CoRR, March, 2026

GLIDE-Reg: Global-to-Local Deformable Registration Using Co-Optimized Foundation and Handcrafted Features.

Yunzheng Zhu, Aichi Chien, Kimaya Kulkarni, Luoting Zhuang, Stephen Park, Ricky Savjani, Daniel Low, William Hsu

CoRR, March, 2026

BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features.

Juampablo Heras Rivera, Dickson T. Chen, Tianyi Ren, Daniel Low, Asma Ben Abacha, Alberto Santamaria-Pang, Mehmet Kurt

CoRR, February, 2026

Breaking Negative Cycles: A Reflection-to-Action System for Adaptive Change.

Minsol Michelle Kim, Daniel Low, David Lafond, Eugene Shim, Michelle Han, Mohanad Kandil, Chenyu Zhang, Theo Kitsberg, Chelsea Boccagno, Paul Pu Liang, Pattie Maes

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics.

Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt

CoRR, December, 2025

2022

Automatic triangulated mesh generation of pulmonary airways from segmented lung 3DCTs for computational fluid dynamics.

Michael Lauria, Kamal Singhrao, Brad Stiehl, Daniel Low, Jonathan G. Goldin, Igor Barjaktarevic, Anand P. Santhanam

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs.

Brad Stiehl, Michael Lauria, Kamal Singhrao, Jonathan G. Goldin, Igor Barjaktarevic, Daniel Low, Anand P. Santhanam

Int. J. Comput. Assist. Radiol. Surg., 2021

A quantitative prediction of the post-operative lobectomy lung physiology using a GPU-based linear elastic lung biomechanics model and a constrained generative adversarial learning approach.

Anand P. Santhanam, Brad Stiehl, Michael Lauria, Igor Barjaktarevic, Jonathan G. Goldin, Jane Yanagawa, Daniel Low

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications.

Anand P. Santhanam, Michael Lauria, Brad Stiehl, Daniel Elliott, Saty Seshan, Scott Hsieh, Minsong Cao, Daniel Low

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2017

Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations.

John Neylon, Yugang Min, Patrick Kupelian, Daniel Low, Anand P. Santhanam

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

Multi-Kinect v2 Camera Based Monitoring System for Radiotherapy Patient Safety.

Anand P. Santhanam, Yugang Min, Patrick Kupelian, Daniel Low

Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

2013

Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy.

Anand P. Santhanam, Tai Dou, John Neylon, Yugang Min, Alexandre Kupelian, Ke Sheng, Daniel Ennis, Jannick P. Rolland, Daniel Low, Patrick Kupelian

Proceedings of the Medicine Meets Virtual Reality 20 - NextMed, 2013

2007

4D medical image computing and visualization of lung tumor mobility in spatio-temporal CT image data.

Heinz Handels, René Werner, Rainer Schmidt, Thorsten Frenzel, Wei Lu, Daniel Low, Jan Ehrhardt

Int. J. Medical Informatics, 2007

Analysis of free breathing motion using artifact reduced 4D CT image data.

Jan Ehrhardt, René Werner, Thorsten Frenzel, Wei Lu, Daniel Low, Heinz Handels

Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006

Reconstruction of 4D-CT data sets acquired during free breathing for the analysis of respiratory motion.

Jan Ehrhardt, René Werner, Thorsten Frenzel, Dennis Säring, Wei Lu, Daniel Low, Heinz Handels

Proceedings of the Medical Imaging 2006: Image Processing, 2006

Generation of 4D CT Image Data and Analysis of Lung Tumour Mobility during the Breathing Cycle.

Heinz Handels, René Werner, Thorsten Frenzel, Dennis Säring, Wei Lu, Daniel Low, Jan Ehrhardt

Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

Rekonstruktion von 4D-CT-Daten aus räumlich-zeitlichen CT-Segmentfolgen zur Analyse atmungsbedingter Organbewegungen.

René Werner, Jan Ehrhardt, Thorsten Frenzel, Dennis Säring, Daniel Low, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006