James D. Brooks

38 papers B 1C 3Misc 6Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Transformer-Based Indirect Structural Health Monitoring of Rail Infrastructure with Attention-Driven Detection and Localization of Transient Defects.
CoRR
Sizhe Ma, Katherine A. Flanigan, Mario Bergés, James D. Brooks
2024 J jnl
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Comput. Biol. Medicine
Wei Shao, Sulaiman Vesal, Simon J. C. Soerensen, Indrani Bhattacharya, Negar Golestani, Rikiya Yamashita, Christian A. Kunder, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2023 J jnl
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.
CoRR
Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach, Ryan Han, James D. Brooks, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Robert B. West, Jin Long, Richard E. Fan, Olaf Bettendorf
2023 J jnl
Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images.
Frontiers Bioinform.
Grigorios M. Karageorgos, Sanghee Cho, Elizabeth McDonough, Chrystal Chadwick, Soumya Ghose, Jonathan Owens, Kyeong Joo Jung, Raghu Machiraju, Robert West, James D. Brooks, Parag Mallick, Fiona Ginty
2023 — conf
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection.
ASMUS@MICCAI
Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Ran Zhou, Zachary Kornberg, Elijah Richard Sommer, Richard E. Fan, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2023 J jnl
PlexusNet: A neural network architectural concept for medical image classification.
Comput. Biol. Medicine
Okyaz Eminaga, Mahmoud Abbas, Jeanne Shen, Mark A. Laurie, James D. Brooks, Joseph C. Liao, Daniel L. Rubin
2022 J jnl
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT.
CoRR
Karin Stacke, Indrani Bhattacharya, Justin R. Tse, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2022 J jnl
Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage.
Frontiers Digit. Health
Selen Bozkurt, Christopher J. Magnani, Martin G. Seneviratne, James D. Brooks, Tina Hernandez-Boussard
2022 J jnl
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal.
Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, Wei Shao, Leo C. Chen, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2021 J jnl
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Medical Image Anal.
Rewa Sood, Wei Shao, Christian Kunder, Nikola C. Teslovich, Jeffrey B. Wang, Simon John Christoph Soerensen, Nikhil Madhuripan, Anugayathri Jawahar, James D. Brooks, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2021 J jnl
Bridging the gap between prostate radiology and pathology through machine learning.
CoRR
Indrani Bhattacharya, David S. Lim, Han Lin Aung, Xingchen Liu, Arun Seetharaman, Christian A. Kunder, Wei Shao, Simon John Christoph Soerensen, Richard E. Fan, Pejman Ghanouni, Katherine J. To'o, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2021 J jnl
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Medical Image Anal.
Wei Shao, Linda Banh, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Nikhil Madhuripan, Anugayathri Jawahar, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2021 — conf
Weakly Supervised Registration of Prostate MRI and Histopathology Images.
MICCAI (4)
Wei Shao, Indrani Bhattacharya, Simon John Christoph Soerensen, Christian A. Kunder, Jeffrey B. Wang, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2020 — conf
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
MICCAI (2)
Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2020 J jnl
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
CoRR
Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2020 Misc conf
Distinct Clusters of Patient reported outcome (PRO) trajectories among oncology patients receiving chemotherapy.
AMIA
Selen Bozkurt, Amee D. Azad, Melih Yilmaz, James D. Brooks, Douglas W. Blayney, Tina Hernandez-Boussard
2020 J jnl
Efficacy of Incentive Structures for Boundedly Rational Dispatchers in Large-Scale Queueing Networks.
IEEE Trans. Hum. Mach. Syst.
James D. Brooks, David Mendonça, Xin Zhang
2019 J jnl
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.
CoRR
Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin
2019 J jnl
Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.
J. Biomed. Informatics
Jean Coquet, Selen Bozkurt, Kathleen M. Kan, Michelle Ferrari, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard
2019 J jnl
Deep Learning for Prostate Pathology.
CoRR
Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmoud Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas M. Loening, Robert B. West, Geoffrey A. Sonn, Richard E. Fan, Olaf Bettendorf, James D. Brooks, Daniel L. Rubin
2019 B conf
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy.
Image Processing
Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks
2019 — conf
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer.
MedInfo
Raphael Lenain, Martin G. Seneviratne, Selen Bozkurt, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard
2019 J jnl
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.
CoRR
Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin
2018 Misc conf
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.
AMIA
Selen Bozkurt, Jung Park In, Kathleen Mary Kan, Michelle Ferrari, Daniel L. Rubin, James D. Brooks, Tina Hernandez-Boussard
2018 Misc conf
Identifying cases of metastatic prostate cancer using machine learning on electronic health records.
AMIA
Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard
2017 Misc conf
A distributed simulator platform for rapid industrial user experience prototyping.
WSC
Roberto S. Silva Filho, Alexander K. Carroll, James D. Brooks
2017 Misc conf
Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer Treatment.
AMIA
Tina Hernandez-Boussard, Panayotis Kourdis, Wen-Wai Yim, Rajendra Dulal, Douglas W. Blayney, James D. Brooks
2017 C conf
Scheduling distributed locomotives for optimal train handling.
ACC
Anup Menon, H. Kirk Mathews, James D. Brooks, Dan Dai, Brian N. Meyer
2016 J jnl
Allocation of flows in closed bipartite queueing networks.
Eur. J. Oper. Res.
James D. Brooks, Koushik Kar, David Mendonça
2016 — conf
Estimating Computational Models of Dynamic Decision Making from Transactional Data.
GDN
James D. Brooks, David Mendonça, Xin Zhang, Martha Grabowski
2015 J jnl
A Historical Analysis of the Field of OR/MS using Topic Models.
CoRR
Christopher J. Gatti, James D. Brooks, Sarah G. Nurre
2015 C conf
Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation.
ACC
Emrah Biyik, James D. Brooks, Hullas Sehgal, Jigar Shah, Sahika Genc
2014 — conf
Collaborative Training Tools for Emergency Restoration of Critical Infrastructure Systems.
WorldCIST (1)
David Mendonça, Barbara Cutler, William A. Wallace, James D. Brooks
2014 — conf
Equity-effectiveness tradeoff in the allocation of flows in closed queueing networks.
SysCon
James D. Brooks, David Mendonça
2014 J jnl
Linking Team Composition to Team Performance: An Application to Postdisaster Debris Removal Operations.
IEEE Trans. Hum. Mach. Syst.
David Mendonça, James D. Brooks, Martha Grabowski
2014 C conf
Model predictive building thermostatic controls of small-to-medium commercial buildings for optimal peak load reduction incorporating dynamic human comfort models: Algorithm and implementation.
CCA
Emrah Biyik, Sahika Genc, James D. Brooks
2013 Misc conf
Simulating market effects on boundedly rational agents in control of the dynamic dispatching of actors in network-based operations.
WSC
James D. Brooks, David Mendonça
2009 — conf
A Predictor for Survival in Intermediate Grade Clear Cell Renal Cell Carcinoma.
BIOCOMP
Anupama Reddy, Angela Rose Brannon, Michael Seiler, Joseph Irgon, Börje Ljungberg, Hongjuan Zhao, James D. Brooks, Shridar Ganesan, W. Kimryn Rathmell, Gyan Bhanot