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2020 – today
- 2024
[j27]Ashwath Radhachandran
, Adam Kinzel, Joseph Chen, Vivek Sant, Maitraya Patel, Rinat Masamed, Corey W. Arnold, William Speier:
A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images. Comput. Biol. Medicine 170: 107974 (2024)- [c38]Ekaterina Redekop, Mara Pleasure, Zichen Wang, Karthik V. Sarma, Adam Kinnaird, William Speier, Corey W. Arnold:
Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI. CVPR Workshops 2024: 2365-2372 - [c37]Ashwath Radhachandran, Alekhya Vittalam, Vedrana Ivezic, Vivek Sant, Shreeram Athreya, Chace Moleta, Maitraya Patel, Rinat Masamed, Corey W. Arnold, William Speier:
ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies. MICCAI (4) 2024: 753-763 - [i21]Nithin Parthasarathy, James Soetedjo, Saarang Panchavati, Nitya Parthasarathy, Corey W. Arnold, Nader Pouratian, William Speier:
High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training. CoRR abs/2405.13329 (2024) - [i20]Ekaterina Redekop, Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Flores, William Speier, Corey W. Arnold:
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning. CoRR abs/2409.08331 (2024) - [i19]Shreeram Athreya, Andrew Melehy, Sujit Silas Armstrong Suthahar, Vedrana Ivezic, Ashwath Radhachandran, Vivek Sant, Chace Moleta, Henry Zheng, Maitraya Patel, Rinat Masamed, Corey W. Arnold, William Speier:
Reducing Overtreatment of Indeterminate Thyroid Nodules Using a Multimodal Deep Learning Model. CoRR abs/2409.19171 (2024) - [i18]Nithin Parthasarathy, James Soetedjo, Saarang Panchavati, Nitya Parthasarathy, Corey W. Arnold, Nader Pouratian, William Speier:
Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training. CoRR abs/2410.15161 (2024) - 2023
- [j26]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [j25]Chao Chen, Catalina Raymond, William Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter R. Enzmann, Benjamin M. Ellingson, Corey W. Arnold:
Synthesizing MR Image Contrast Enhancement Using 3D High-Resolution ConvNets. IEEE Trans. Biomed. Eng. 70(2): 401-412 (2023) - [c36]Saarang Panchavati, Samuel Vander Dussen, Hemal Semwal, Ahmed Ali, Justin Chen, Haoran Li, Corey W. Arnold, William Speier:
Pretrained Transformers for Seizure Detection. ICASSP 2023: 1-2 - [c35]Mara Pleasure, Ekaterina Redekop, Jennifer S. Polson, Haoyue Zhang, Naoki Kaneko, William Speier, Corey W. Arnold:
Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance Learning. ICCV (Workshops) 2023: 2666-2675 - [c34]Zichen Wang, Mara Pleasure, Haoyue Zhang, Kimberly Flores, Anthony Sisk, William Speier, Corey W. Arnold:
Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides. MICCAI (6) 2023: 642-651 - [i17]Haoyue Zhang, Jennifer S. Polson, Eric J. Yang, Kambiz Nael, William Speier, Corey W. Arnold:
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models. CoRR abs/2302.04143 (2023) - [i16]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i15]Shreeram Athreya, Ashwath Radhachandran, Vedrana Ivezic, Vivek Sant, Corey W. Arnold, William Speier:
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss. CoRR abs/2312.11748 (2023) - 2022
- [j24]Justin Wood, Corey W. Arnold, Wei Wang:
Knowledge Source Rankings for Semi-Supervised Topic Modeling. Inf. 13(2): 57 (2022) - [j23]Whitney Arnold, Corey W. Arnold:
Medicine in the Monthly Review: Revealing public medical discourse with topic modelling. Digit. Scholarsh. Humanit. 37(3): 611-629 (2022) - [j22]Wenyuan Li, Jiayun Li, Jennifer Polson, Zichen Wang, William Speier, Corey W. Arnold:
High resolution histopathology image generation and segmentation through adversarial training. Medical Image Anal. 75: 102251 (2022) - [j21]Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey W. Arnold:
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment. IEEE J. Biomed. Health Informatics 26(3): 1208-1218 (2022) - [j20]Wenyuan Li, Jiayun Li, Zichen Wang, Jennifer Polson, Anthony E. Sisk, Dipti P. Sajed, William Speier, Corey W. Arnold:
PathAL: An Active Learning Framework for Histopathology Image Analysis. IEEE Trans. Medical Imaging 41(5): 1176-1187 (2022) - [c33]Patrick Liu, Saarang Panchavati, Mara Pleasure, Nathan Siu, Clemence Bonnet, Sophie Deng, Corey W. Arnold, William Speier:
MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell Deficiency. BIBE 2022: 174-179 - [c32]Justin Wood, Corey W. Arnold, Wei Wang:
A Bayesian Topic Model for Human-Evaluated Interpretability. LREC 2022: 6271-6279 - [c31]Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang:
Transformer Lesion Tracker. MICCAI (6) 2022: 196-206 - [c30]Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang:
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans. MICCAI (6) 2022: 344-353 - [c29]Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold:
Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning. MIDL 2022: 975-987 - [i14]Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas:
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. CoRR abs/2202.08916 (2022) - [i13]Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson:
Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology. CoRR abs/2206.05617 (2022) - [i12]Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang:
Transformer Lesion Tracker. CoRR abs/2206.06252 (2022) - [i11]Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang:
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans. CoRR abs/2206.06253 (2022) - 2021
- [j19]Jiayun Li, Wenyuan Li, Anthony E. Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold:
A multi-resolution model for histopathology image classification and localization with multiple instance learning. Comput. Biol. Medicine 131: 104253 (2021) - [j18]Haoyue Zhang, Jennifer S. Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W. Arnold:
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time. Comput. Medical Imaging Graph. 90: 101926 (2021) - [j17]Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold:
Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 28(6): 1259-1264 (2021) - [j16]Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
HCET: Hierarchical Clinical Embedding With Topic Modeling on Electronic Health Records for Predicting Future Depression. IEEE J. Biomed. Health Informatics 25(4): 1265-1272 (2021) - [j15]Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression. IEEE J. Biomed. Health Informatics 25(8): 3121-3129 (2021) - [c28]Haoyue Zhang, Jennifer Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, William Speier, Corey W. Arnold:
A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features. BHI 2021: 1-4 - [c27]Nathan Siu, Maxime Ruiz, Sheyla Gonzalez Garrido, Yu Yan, Dylan Steinecke, Elizabeth Rao, Rachel Choi, Sarah Robertson, Sophie Deng, Corey W. Arnold, William Speier:
Automatic Estimation of Limbal Stem Cell Densities in Cultured Epithelial Cell Microscopy Imaging. BIBE 2021: 1-6 - [c26]Jennifer Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Namkug Kim, Dong-Wha Kang, William Speier, Corey W. Arnold:
A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis. EMBC 2021: 2258-2261 - [c25]Justin Wood, Wei Wang, Corey W. Arnold:
The Biased Coin Flip Process for Nonparametric Topic Modeling. ICDAR (2) 2021: 68-83 - [c24]Zichen Wang, Jiayun Li, Zhufeng Pan, Wenyuan Li, Anthony E. Sisk, Huihui Ye, William Speier, Corey W. Arnold:
Hierarchical Graph Pathomic Network for Progression Free Survival Prediction. MICCAI (8) 2021: 227-237 - [i10]Chao Chen, Catalina Raymond, Bill Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter R. Enzmann, Benjamin M. Ellingson, Corey W. Arnold:
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets. CoRR abs/2104.01592 (2021) - 2020
- [j14]Zichen Wang, Mu Zhou, Corey W. Arnold:
Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing. Bioinform. 36(Supplement-1): i525-i533 (2020) - [j13]Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold:
Semi-supervised learning using adversarial training with good and bad samples. Mach. Vis. Appl. 31(6): 49 (2020) - [j12]Yiwen Meng, William Speier, Chrisandra Shufelt, Sandy Joung, Jennifer E. Van Eyk, C. Noel Bairey Merz, Mayra Lopez, Brennan Spiegel, Corey W. Arnold:
A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data. IEEE J. Biomed. Health Informatics 24(3): 878-884 (2020) - [c23]James Soetedjo, Osita Sean Keluo-Udeke, Corey W. Arnold, Nader Pouratian, William Speier:
Maintaining High Accuracy General P300 Speller Using the Language Modeling and Dynamic Stopping. BIBE 2020: 365-368 - [c22]Nithin Parthasarathy, Corey W. Arnold, Nader Pouratian, William Speier:
Optimizing P300 speller performance using language models for character and word prediction. BIBE 2020: 807-812 - [c21]Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. ICPR 2020: 8727-8734 - [i9]Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey W. Arnold:
Attention-Guided Discriminative Region Localization for Bone Age Assessment. CoRR abs/2006.00202 (2020) - [i8]Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression. CoRR abs/2009.12656 (2020) - [i7]Jiayun Li, Wenyuan Li, Anthony E. Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold:
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning. CoRR abs/2011.02679 (2020) - [i6]Haoyue Zhang, Jennifer S. Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W. Arnold:
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time. CoRR abs/2011.03350 (2020) - [i5]Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. CoRR abs/2012.06136 (2020)
2010 – 2019
- 2019
- [j11]Chrisandra Shufelt, Eldin Dzubur, Sandy Joung, Garth Fuller, Kelly N. Mouapi, Irene Van Den Broek, Mayra Lopez, Shivani Dhawan, Corey W. Arnold, William Speier, Mitra Mastali, Qin Fu, Jennifer E. Van Eyk, Brennan Spiegel, C. Noel Bairey Merz:
A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers. npj Digit. Medicine 2 (2019) - [j10]Wenyuan Li, Jiayun Li, Karthik V. Sarma, King Chung Ho, Shiwen Shen, Beatrice S. Knudsen, Arkadiusz Gertych, Corey W. Arnold:
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. IEEE Trans. Medical Imaging 38(4): 945-954 (2019) - [j9]King Chung Ho, William Speier, Haoyue Zhang, Fabien Scalzo, Suzie El-Saden, Corey W. Arnold:
A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging. IEEE Trans. Medical Imaging 38(7): 1666-1676 (2019) - [c20]Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey W. Arnold:
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. CVPR Workshops 2019 - [c19]William Speier, Corey W. Arnold, Nand Chandravadia, Dustin Roberts, Shrita Pendekanti, Andrew Marttini, Nader Pouratian:
A Self-Paced P300 speller with Improved Typing Speed using continuous stimulus Presentations. GBCIC 2019 - [c18]Karthik V. Sarma, Brennan M. R. Spiegel, W. Mark Reid, Shawn Chen, Raina M. Merchant, Emily Seltzer, Corey W. Arnold:
Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing. MedInfo 2019: 1065-1069 - [c17]Yannan Yu, Bhargav Parsi, William Speier, Corey W. Arnold, Min Lou, Fabien Scalzo:
LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke. MICCAI (4) 2019: 177-185 - [i4]Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey W. Arnold:
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. CoRR abs/1905.06484 (2019) - [i3]Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold:
An attention-based multi-resolution model for prostate whole slide imageclassification and localization. CoRR abs/1905.13208 (2019) - [i2]Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold:
Semi-supervised Learning using Adversarial Training with Good and Bad Samples. CoRR abs/1910.08540 (2019) - 2018
- [j8]Jiayun Li, William Speier, King Chung Ho, Karthik V. Sarma, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold:
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. Comput. Medical Imaging Graph. 69: 125-133 (2018) - [j7]William Speier, Eldin Dzubur, Mary Zide, Chrisandra Shufelt, Sandy Joung, Jennifer E. Van Eyk, C. Noel Bairey Merz, Mayra Lopez, Brennan Spiegel, Corey W. Arnold:
Evaluating utility and compliance in a patient-based eHealth study using continuous-time heart rate and activity trackers. J. Am. Medical Informatics Assoc. 25(10): 1386-1391 (2018) - [c16]Yiwen Meng, William Speier, Eldin Dzubur, Brennan M. R. Spiegel, Corey W. Arnold:
Predicting Patient Health Status using Activity Tracker Data. AMIA 2018 - [c15]Karthik V. Sarma, Brennan M. R. Spiegel, W. Mark Reid, Xiang S. Chen, Raina M. Merchant, Emily Seltzer, Corey W. Arnold:
Estimating Health-related Quality of Life of Twitter Users: Methods for Semantic Processing of Social Media Posts. AMIA 2018 - [c14]Nathan Ing, Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey W. Arnold, Beatrice S. Knudsen, Arkadiusz Gertych:
Semantic segmentation for prostate cancer grading by convolutional neural networks. Digital Pathology 2018: 105811B - [i1]Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan:
Semi-supervised Rare Disease Detection Using Generative Adversarial Network. CoRR abs/1812.00547 (2018) - 2017
- [c13]King Chung Ho, William Speier, Suzie M. El-Saden, Corey W. Arnold:
Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features. AMIA 2017 - [c12]Jiayun Li, Karthik V. Sarma, King Chung Ho, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold:
A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. AMIA 2017 - [c11]Justin Wood, Patrick Tan, Wei Wang, Corey W. Arnold:
Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources. ICDE 2017: 411-422 - 2016
- [j6]Corey W. Arnold, Andrea Oh, Shawn Chen, William Speier:
Evaluating topic model interpretability from a primary care physician perspective. Comput. Methods Programs Biomed. 124: 67-75 (2016) - [j5]William Hsu, Simon X. Han, Corey W. Arnold, Alex A. T. Bui, Dieter R. Enzmann:
A data-driven approach for quality assessment of radiologic interpretations. J. Am. Medical Informatics Assoc. 23(e1): e152-e156 (2016) - [j4]William Speier, Michael K. Ong, Corey W. Arnold:
Using phrases and document metadata to improve topic modeling of clinical reports. J. Biomed. Informatics 61: 260-266 (2016) - [c10]King Chung Ho, Fabien Scalzo, Karthik V. Sarma, Suzie El-Saden, Corey W. Arnold:
A temporal deep learning approach for MR perfusion parameter estimation in stroke. ICPR 2016: 1315-1320 - 2015
- [j3]Mary McNamara, Corey W. Arnold, Karthik Sarma, Denise R. Aberle, Edward B. Garon, Alex A. T. Bui:
Patient portal preferences: Perspectives on imaging information. J. Assoc. Inf. Sci. Technol. 66(8): 1606-1615 (2015) - 2014
- [c9]King Chung Ho, William Speier, Suzie El-Saden, David S. Liebeskind, Jeffrey L. Saver, Alex A. T. Bui, Corey W. Arnold:
Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data. AMIA 2014 - [c8]Mary McNamara, Karthik Sarma, Denise R. Aberle, Alex A. T. Bui, Corey W. Arnold:
Data Model for Personalized Patient Health Guidelines: An Exploratory Study. AMIA 2014 - 2013
- [j2]Corey W. Arnold, Mary McNamara, Suzie El-Saden, Shawn Chen, Ricky K. Taira, Alex A. T. Bui:
Research and applications: Imaging informatics for consumer health: towards a radiology patient portal. J. Am. Medical Informatics Assoc. 20(6): 1028-1036 (2013) - [j1]Alex A. T. Bui, William Hsu, Corey W. Arnold, Suzie El-Saden, Denise R. Aberle, Ricky K. Taira:
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics. J. Am. Medical Informatics Assoc. 20(6): 1053-1058 (2013) - [c7]Alexa Love, Corey W. Arnold, Suzie El-Saden, David S. Liebeskind, Lewellyn P. Andrada, Jeffrey L. Saver, Alex A. T. Bui:
Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network. MedInfo 2013: 1012 - [c6]Corey W. Arnold, Tina Nguyen, Carla Janzen:
BabySTEPS: A Sugar Tracking Electronic Portal System for Gestational Diabetes. MedInfo 2013: 1123 - [c5]Xiang Chen, Corey W. Arnold:
Integrating UIMA Annotators in a Web-based Text Processing Framework. MedInfo 2013: 1191 - [c4]Ricky K. Taira, Corey W. Arnold:
Hierarchical Semantic Structures for Medical NLP. MedInfo 2013: 1194 - 2012
- [c3]Corey W. Arnold, William Speier:
A topic model of clinical reports. SIGIR 2012: 1031-1032 - 2011
- [c2]William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold:
Robust Skull Stripping of Clinical Glioblastoma Multiforme Data. MICCAI (3) 2011: 659-666 - 2010
- [c1]William Hsu, Corey W. Arnold, Ricky K. Taira:
A neuro-oncology workstation for structuring, modeling, and visualizing patient records. IHI 2010: 837-840
Coauthor Index
William Speier
aka: Bill Speier
aka: Bill Speier
[j27] [c38] [c37] [i21] [i20] [i19] [i18] [j25] [c36] [c35] [c34] [i17] [i15] [j22] [j21] [j20] [c33] [c29] [j19] [j18] [j17] [j16] [j15] [c28] [c27] [c26] [c24] [i10] [j13] [j12] [c23] [c22] [i9] [i8] [i7] [i6] [j11] [j9] [c20] [c19] [c17] [i4] [i3] [i2] [j8] [j7] [c16] [c13] [j6] [j4] [c9] [c3] [c2]
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