James D. Brooks

Orcid: 0000-0002-8395-7494

According to our database1, James D. Brooks authored at least 36 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Comput. Biol. Medicine, 2024

2023
Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images.
Frontiers Bioinform., May, 2023

PlexusNet: A neural network architectural concept for medical image classification.
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

Bridging the gap between prostate radiology and pathology through machine learning.
CoRR, 2021

Weakly Supervised Registration of Prostate MRI and Histopathology Images.
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

Deep Learning for Prostate Pathology.
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
A distributed simulator platform for rapid industrial user experience prototyping.
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

Scheduling distributed locomotives for optimal train handling.
Proceedings of the 2017 American Control Conference, 2017

2016
Allocation of flows in closed bipartite queueing networks.
Eur. J. Oper. Res., 2016

Estimating Computational Models of Dynamic Decision Making from Transactional Data.
Proceedings of the Group Decision and Negotiation: Theory, Empirical Evidence, and Application, 2016

2015
A Historical Analysis of the Field of OR/MS using Topic Models.
CoRR, 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


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