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2020 – today
- 2024
[j11]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:
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 173: 108318 (2024)- 2023
- [j10]Okyaz Eminaga, Mahmoud Abbas, Jeanne Shen, Mark A. Laurie, James D. Brooks, Joseph C. Liao, Daniel L. Rubin:
PlexusNet: A neural network architectural concept for medical image classification. Comput. Biol. Medicine 154: 106594 (2023) - [j9]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:
Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images. Frontiers Bioinform. 3 (2023) - [c18]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:
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. ASMUS@MICCAI 2023: 121-131 - [i8]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:
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology. CoRR abs/2308.11992 (2023) - 2022
- [j8]Selen Bozkurt, Christopher J. Magnani, Martin G. Seneviratne, James D. Brooks, Tina Hernandez-Boussard:
Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage. Frontiers Digit. Health 4: 793316 (2022) - [j7]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:
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical Image Anal. 75: 102288 (2022) - [i7]Karin Stacke, Indrani Bhattacharya, Justin R. Tse, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT. CoRR abs/2209.14657 (2022) - 2021
- [j6]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:
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate. Medical Image Anal. 68: 101919 (2021) - [j5]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:
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction. Medical Image Anal. 69: 101957 (2021) - [c17]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:
Weakly Supervised Registration of Prostate MRI and Histopathology Images. MICCAI (4) 2021: 98-107 - [i6]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:
Bridging the gap between prostate radiology and pathology through machine learning. CoRR abs/2112.02164 (2021) - 2020
- [j4]James D. Brooks, David Mendonça, Xin Zhang:
Efficacy of Incentive Structures for Boundedly Rational Dispatchers in Large-Scale Queueing Networks. IEEE Trans. Hum. Mach. Syst. 50(1): 89-97 (2020) - [c16]Selen Bozkurt, Amee D. Azad, Melih Yilmaz, James D. Brooks, Douglas W. Blayney, Tina Hernandez-Boussard:
Distinct Clusters of Patient reported outcome (PRO) trajectories among oncology patients receiving chemotherapy. AMIA 2020 - [c15]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:
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. MICCAI (2) 2020: 315-325 - [i5]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:
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. CoRR abs/2008.00119 (2020)
2010 – 2019
- 2019
- [j3]Jean Coquet, Selen Bozkurt, Kathleen M. Kan, Michelle Ferrari, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard:
Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients. J. Biomed. Informatics 94 (2019) - [c14]Raphael Lenain, Martin G. Seneviratne, Selen Bozkurt, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard:
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer. MedInfo 2019: 1522-1523 - [c13]Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks:
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy. Medical Imaging: Image Processing 2019: 109491P - [i4]Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin:
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis. CoRR abs/1908.09067 (2019) - [i3]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:
Deep Learning for Prostate Pathology. CoRR abs/1910.04918 (2019) - [i2]Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin:
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning. CoRR abs/1910.09100 (2019) - 2018
- [c12]Selen Bozkurt, Jung Park In, Kathleen Mary Kan, Michelle Ferrari, Daniel L. Rubin, James D. Brooks, Tina Hernandez-Boussard:
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing. AMIA 2018 - [c11]Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard:
Identifying cases of metastatic prostate cancer using machine learning on electronic health records. AMIA 2018 - 2017
- [c10]Anup Menon, H. Kirk Mathews, James D. Brooks, Dan Dai, Brian N. Meyer:
Scheduling distributed locomotives for optimal train handling. ACC 2017: 5519-5524 - [c9]Tina Hernandez-Boussard, Panayotis Kourdis, Wen-wai Yim, Rajendra Dulal, Douglas W. Blayney, James D. Brooks:
Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer Treatment. AMIA 2017 - [c8]Roberto S. Silva Filho, Alexander K. Carroll, James D. Brooks:
A distributed simulator platform for rapid industrial user experience prototyping. WSC 2017: 1467-1478 - 2016
- [j2]James D. Brooks, Koushik Kar, David Mendonça:
Allocation of flows in closed bipartite queueing networks. Eur. J. Oper. Res. 255(2): 333-344 (2016) - [c7]James D. Brooks, David Mendonça, Xin Zhang, Martha Grabowski:
Estimating Computational Models of Dynamic Decision Making from Transactional Data. GDN 2016: 57-68 - 2015
- [c6]Emrah Biyik, James D. Brooks, Hullas Sehgal, Jigar Shah, Sahika Genc:
Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation. ACC 2015: 1683-1688 - [i1]Christopher J. Gatti, James D. Brooks, Sarah G. Nurre:
A Historical Analysis of the Field of OR/MS using Topic Models. CoRR abs/1510.05154 (2015) - 2014
- [j1]David Mendonça, James D. Brooks, Martha Grabowski:
Linking Team Composition to Team Performance: An Application to Postdisaster Debris Removal Operations. IEEE Trans. Hum. Mach. Syst. 44(3): 315-325 (2014) - [c5]Emrah Biyik, Sahika Genc, James D. Brooks:
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 2014: 2009-2015 - [c4]James D. Brooks, David Mendonça:
Equity-effectiveness tradeoff in the allocation of flows in closed queueing networks. SysCon 2014: 511-517 - [c3]David Mendonça, Barbara Cutler, William A. Wallace, James D. Brooks:
Collaborative Training Tools for Emergency Restoration of Critical Infrastructure Systems. WorldCIST (1) 2014: 571-581 - 2013
- [c2]James D. Brooks, David Mendonça:
Simulating market effects on boundedly rational agents in control of the dynamic dispatching of actors in network-based operations. WSC 2013: 169-180
2000 – 2009
- 2009
- [c1]Anupama Reddy, Angela Rose Brannon, Michael Seiler, Joseph Irgon, Börje Ljungberg, Hongjuan Zhao, James D. Brooks, Shridar Ganesan, W. Kimryn Rathmell, Gyan Bhanot:
A Predictor for Survival in Intermediate Grade Clear Cell Renal Cell Carcinoma. BIOCOMP 2009: 441-447
Coauthor Index
aka: Christian A. Kunder
aka: Simon John Christoph Soerensen
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