James D. Brooks
Orcid: 0000-0002-8395-7494
According to our database1,
James D. Brooks
authored at least 34 papers
between 2009 and 2023.
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Bibliography
2023
Comput. Biol. Medicine, March, 2023
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.
CoRR, 2023
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
2022
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal., 2022
Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage.
Frontiers Digit. Health, 2022
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT.
CoRR, 2022
2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Medical Image Anal., 2021
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Medical Image Anal., 2021
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Efficacy of Incentive Structures for Boundedly Rational Dispatchers in Large-Scale Queueing Networks.
IEEE Trans. Hum. Mach. Syst., 2020
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Distinct Clusters of Patient reported outcome (PRO) trajectories among oncology patients receiving chemotherapy.
Proceedings of the AMIA 2020, 2020
2019
Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.
J. Biomed. Informatics, 2019
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.
CoRR, 2019
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.
CoRR, 2019
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
2018
Identifying cases of metastatic prostate cancer using machine learning on electronic health records.
Proceedings of the AMIA 2018, 2018
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the 2017 Winter Simulation Conference, 2017
Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer Treatment.
Proceedings of the AMIA 2017, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the Group Decision and Negotiation: Theory, Empirical Evidence, and Application, 2016
2015
Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation.
Proceedings of the American Control Conference, 2015
2014
Linking Team Composition to Team Performance: An Application to Postdisaster Debris Removal Operations.
IEEE Trans. Hum. Mach. Syst., 2014
Collaborative Training Tools for Emergency Restoration of Critical Infrastructure Systems.
Proceedings of the New Perspectives in Information Systems and Technologies, 2014
Equity-effectiveness tradeoff in the allocation of flows in closed queueing networks.
Proceedings of the IEEE International Systems Conference, 2014
Model predictive building thermostatic controls of small-to-medium commercial buildings for optimal peak load reduction incorporating dynamic human comfort models: Algorithm and implementation.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
2013
Simulating market effects on boundedly rational agents in control of the dynamic dispatching of actors in network-based operations.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013
2009
A Predictor for Survival in Intermediate Grade Clear Cell Renal Cell Carcinoma.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009