Publications

2024

Nakajima, E. C.; others,

Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group Journal Article

In: JCO Precis. Oncol., no. 8, pp. e2300687, 2024.

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Hamghalam, M.; Simpson, A. L.

Medical image synthesis via conditional GANs: Application to segmenting brain tumours Journal Article

In: Comput. Biol. Med., vol. 170, pp. 107982, 2024.

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Simpson, A. L.; others,

Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases Journal Article

In: Sci. Data, vol. 11, no. 1, pp. 172, 2024.

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Hamghalam, M.; others,

Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography Journal Article

In: Can. Assoc. Radiol. J., vol. p. 08465371231221052, 2024.

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Chakraborty, J.; others,

Use of Response Permutation to Measure an Imaging Dataset's Susceptibility to Overfitting by Selected Standard Analysis Pipelines Book

Radiol, Acad, 2024.

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Laight, B. J.; others,

Fes-deficient macrophages enhance CD8 + T cell priming and tumour control through increased proinflammatory cytokine production and presentation Unpublished

2024.

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2023

Robins, A.; others,

The Association between COVID-19 and Changes in Opioid Prescribing Patterns and Opioid-Related Overdoses: A Retrospective Cohort Study Journal Article

In: Can. J. Pain, vol. 7, no. 1, pp. 2176297, 2023.

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Midya, A.; others,

Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach Journal Article

In: IEEE J. Biomed. Health Inform., vol. 27, no. 5, pp. 2456-2464, 2023.

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Pati, S.; others,

Author Correction: Federated learning enables big data for rare cancer boundary detection Journal Article

In: Nat. Commun., vol. 14, no. 1, 2023, (Art).

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``Med-ImageTools,

An open-source Python package for… | F1000Research Online

2023, (Accessed: Jul. 12).

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Simpson, A. L.; Do, R. K. G.

System, method and computer-accessible medium for texture analysis of hepatopancreatobiliary diseases Online

2023, (US10552969B2, Feb. 04, 2020 Accessed: Jul. 19).

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2022

Pati, S.; others,

Federated learning enables big data for rare cancer boundary detection Journal Article

In: Nat. Commun., vol. 13, no. 1, 2022, (Art).

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Hu, R.; others,

Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy Journal Article

In: Phys. Imaging Radiat. Oncol., vol. 24, pp. 36-42, 2022.

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Andrieu, P. Causa; others,

Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer Journal Article

In: JCO Clin. Cancer Inform., no. 6, pp. e2200014, 2022.

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Horvat, N.; others,

A primer on texture analysis in abdominal radiology Journal Article

In: Abdom. Radiol., vol. 47, no. 9, pp. 2972-2985, 2022.

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Phillips, S. P.; Spithoff, S.; Simpson, A.

Artificial intelligence and predictive algorithms in medicine: Promise and problems Journal Article

In: Can. Fam. Physician, vol. 68, no. 8, pp. 570-572, 2022.

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Moskowitz, C. S.; Welch, M. L.; Jacobs, M. A.; Kurland, B. F.; Simpson, A. L.

Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies Journal Article

In: Radiology, vol. 304, no. 2, pp. 265-273, 2022.

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Zambirinis, C. P.; others,

ASO Visual Abstract: Recurrence After Resection of Pancreatic Cancer – Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Journal Article

In: Ann. Surg. Oncol., vol. 29, no. 8, pp. 4977-4978, 2022.

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Zambirinis, C. P.; others,

Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Journal Article

In: Ann. Surg. Oncol., vol. 29, no. 8, pp. 4962-4974, 2022.

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Antonelli, M.; others,

The Medical Segmentation Decathlon Journal Article

In: Nat. Commun., vol. 13, no. 1, pp. 4128, 2022.

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Kearney, A.; others,

Prediction of hospitalization and icu admission for ontario covid-19 patients with cardiac comorbidities Journal Article

In: J. Am. Coll. Cardiol., vol. 79, no. 9, pp. 1843-1843, 2022, (_Supplement).

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Batch, K. E.; others,

Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports Journal Article

In: Front. Artif. Intell., vol. 5, pp. 826402, 2022.

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Sun, S.; others,

Natural Language Processing of Large-Scale Structured Radiology Reports to Identify Oncologic Patients With or Without Splenomegaly Over a 10-Year Period Journal Article

In: JCO Clin. Cancer Inform., no. 6, pp. e2100104, 2022.

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Mojtahedi, R.; Hamghalam, M.; Do, R. K. G.; Simpson, A. L.

Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation Book Section

In: Imaging, Multiscale Multimodal Medical; Li, X.; Lv, J.; Huo, Y.; Dong, B.; Leahy, R. M.; Li, Q. (Ed.): Lecture Notes in Computer Science., pp. 110-120, Springer, Cham, 2022.

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2021

Do, R. K. G.; others,

Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period Journal Article

In: Radiology, vol. 301, no. 1, pp. 115-122, 2021.

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Boerner, T.; others,

Genetic Determinants of Outcome in Intrahepatic Cholangiocarcinoma Journal Article

In: Hepatology, vol. 74, no. 3, pp. 1429-1444, 2021.

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Crête, S.; others,

PD-0735 Time-dependent machine learning survival prediction model of brain metastases with MRI radiomics Journal Article

In: Radiother. Oncol., vol. 161, pp. S565-S566, 2021.

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Pulvirenti, A.; others,

Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade Journal Article

In: JCO Clin. Cancer Inform., no. 5, pp. 679-694, 2021.

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Dickinson, S. M.; others,

Preoperative CT predictors of survival in patients with pancreatic ductal adenocarcinoma undergoing curative intent surgery Journal Article

In: Abdom. Radiol., vol. 46, no. 4, pp. 1607-1617, 2021.

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Creasy, J. M.; others,

Differences in Liver Parenchyma are Measurable with CT Radiomics at Initial Colon Resection in Patients that Develop Hepatic Metastases from Stage II/III Colon Cancer Journal Article

In: Ann. Surg. Oncol., vol. 28, no. 4, pp. 1982-1989, 2021.

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Williams, T. L.; Saadat, L. V.; Gonen, M.; Wei, A.; Do, R. K. G.; Simpson, A. L.

Radiomics in surgical oncology: applications and challenges Journal Article

In: Comput. Assist. Surg., vol. 26, no. 1, pp. 85-96, 2021.

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Bounias, D.; others,

Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs Journal Article

In: Appl. Sci., vol. 11, no. 16, 2021, (Art).

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Hamghalam, M.; Frangi, A. F.; Lei, B.; Simpson, A. L.

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation Book Section

In: Image, Medical (Ed.): in Lecture Notes in Computer Science, pp. 442-452, Springer International Publishing, Cham, 2021.

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Thirumal, S.; others,

Utility of High-Throughput Imaging Mass Cytometry for Cancer Research: A feasibility study Proceedings Article

In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 1-4, 2021.

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Muhammad, H.; others,

EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting Online

2021, (in Medical Imaging with Deep Learning).

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2020

Calò, A.; others,

Spatial mapping of the collagen distribution in human and mouse tissues by force volume atomic force microscopy Journal Article

In: Sci. Rep., vol. 10, no. 1, 2020, (Art).

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Liao, W. -C.; Simpson, A. L.; Wang, W.

Convolutional neural network for the detection of pancreatic cancer on CT scans – Authors' reply Journal Article

In: Lancet Digit. Health, vol. 2, no. 9, pp. e454, 2020.

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Hoshino, A.; others,

Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers Journal Article

In: Cell, vol. 182, no. 4, pp. 1044-1061.e18, 2020.

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Simpson, A.; Miga, M.

Special Section Guest Editorial: Interventional and Surgical Data Science for Data-Driven Patient Outcomes Journal Article

In: J. Med. Imaging, vol. 7, no. 3, pp. 031501, 2020.

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Narasimhan, S.; Weis, J. A.; Luo, M.; Simpson, A. L.; Thompson, R. C.; Miga, M. I.

Accounting for intraoperative brain shift ascribable to cavity collapse during intracranial tumor resection Journal Article

In: J. Med. Imaging, vol. 7, no. 3, pp. 031506, 2020.

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Harrington, K. A.; others,

Multimodal radiomics and cyst fluid inflammatory markers model to predict preoperative risk in intraductal papillary mucinous neoplasms Journal Article

In: J. Med. Imaging, vol. 7, no. 3, pp. 031507, 2020.

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Yamashita, R.; others,

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation Journal Article

In: Eur. Radiol., vol. 30, no. 1, pp. 195-205, 2020.

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2019

Gagniere, J.; others,

Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation Journal Article

In: Abdom. Radiol. Online, vol. 44, no. 11, 2019.

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Attiyeh, M. A.; others,

CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma Journal Article

In: Abdom. Radiol., vol. 44, no. 9, pp. 3148-3157, 2019.

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Wang, T.; others,

Distinct histomorphological features are associated with IDH1 mutation in intrahepatic cholangiocarcinoma Journal Article

In: Hum. Pathol., vol. 91, pp. 19-25, 2019.

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McIntyre, C. A.; others,

Abstract 2444: The use of CT radiomics to predict immune infiltrate in pancreatic ductal adenocarcinoma Journal Article

In: Cancer Res., vol. 79, no. 13, pp. 2444, 2019, (_Supplement).

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Pak, L. M.; others,

Utility of Image Guidance in the Localization of Disappearing Colorectal Liver Metastases Journal Article

In: J. Gastrointest. Surg., vol. 23, no. 4, pp. 760-767, 2019.

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Narayan, R. R.; others,

Regional differences in gallbladder cancer pathogenesis: Insights from a multi-institutional comparison of tumor mutations Journal Article

In: Cancer, vol. 125, no. 4, pp. 575-585, 2019.

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Attiyeh, M. A.; others,

Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis Journal Article

In: HPB, vol. 21, no. 2, pp. 212-218, 2019.

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Creasy, J. M.; others,

Quantitative imaging features of pretreatment CT predict volumetric response to chemotherapy in patients with colorectal liver metastases Journal Article

In: Eur. Radiol., vol. 29, no. 1, pp. 458-467, 2019.

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Muhammad, H.; others,

Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder Book Section

In: Image, Medical (Ed.): in Lecture Notes in Computer Science, pp. 604-612, Springer International Publishing, Cham, 2019.

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Muhammad, H.; others,

Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary Unpublished

2019.

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Simpson, A. L.; others,

A large annotated medical image dataset for the development and evaluation of segmentation algorithms Unpublished

2019.

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2018

Perrin, T.; others,

Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging Journal Article

In: Abdom. Radiol., vol. 43, no. 12, pp. 3271-3278, 2018.

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Chakraborty, J.; others,

CT radiomics to predict high-risk intraductal papillary mucinous neoplasms of the pancreas Journal Article

In: Med. Phys., vol. 45, no. 11, pp. 5019-5029, 2018.

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Speers, A. D.; Ma, B.; Jarnagin, W. R.; Himidan, S.; Simpson, A. L.; Wildes, R. P.

Fast and accurate vision-based stereo reconstruction and motion estimation for image-guided liver surgery Journal Article

In: Healthc. Technol. Lett., vol. 5, no. 5, pp. 208-214, 2018.

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Sigel, C. S.; others,

INTRAHEPATIC CHOLANGIOCARCINOMAS HAVE HISTOLOGICALLY AND IMMUNOPHENOTYPICALLY DISTINCT SMALL AND LARGE DUCT PATTERNS Journal Article

In: Am. J. Surg. Pathol., vol. 42, no. 10, pp. 1334-1345, 2018.

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Aherne, E. A.; others,

Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics? Journal Article

In: Abdom. Radiol., vol. 43, no. 10, pp. 2665-2672, 2018.

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Pak, L. M.; others,

Can physician gestalt predict survival in patients with resectable pancreatic adenocarcinoma? Journal Article

In: Abdom. Radiol., vol. 43, no. 8, pp. 2113-2118, 2018.

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Pak, L. M.; others,

Quantitative Imaging Features and Postoperative Hepatic Insufficiency: A Multi-Institutional Expanded Cohort Journal Article

In: J. Am. Coll. Surg., vol. 226, no. 5, pp. 835-843, 2018.

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Simpson, A.; Miga, M.

Special Section Guest Editorial: Technology Platforms for Treatment and Discovery in Human Systems: Novel Work in Image-Guided Procedures, Robotic Interventions, and Modeling Journal Article

In: J. Med. Imaging, vol. 5, no. 02, pp. 1, 2018.

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Attiyeh, M. A.; others,

Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis Journal Article

In: Ann. Surg. Oncol., vol. 25, no. 4, pp. 1034-1042, 2018.

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Zambirinis, C. P.; others,

Patterns of recurrence and peri-operative predictors of liver metastasis after pancreatic cancer resection Journal Article

In: HPB, vol. 20, pp. S145, 2018.

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Kingham, T. P.; others,

3D image guidance assisted identification of colorectal cancer liver metastases not seen on intraoperative ultrasound: results from a prospective trial Journal Article

In: HPB, vol. 20, no. 3, pp. 260-267, 2018.

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Midya, A.; others,

Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma Journal Article

In: Medical Imaging, vol. 2018: Computer-Aided Diagnosis, SPIE, pp. 501-506, 2018.

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Chakraborty, J.; others,

Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors Journal Article

In: Medical Imaging, vol. 2018: Computer-Aided Diagnosis, SPIE, pp. 381-386, 2018.

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Lawrence, S.; others,

Use of Quantitative Image Analysis and Cyst Fluid Inflammatory Markers to Predict Risk in Intraductal Papillary Mucinous Neoplasms Journal Article

In: ANNALS OF SURGICAL ONCOLOGY, SPRINGER, vol. 233 SPRING ST, NEW YORK, NY 10013 USA, pp. S131-S131, 2018.

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Aylward, S.; Simpson, A.; Stoyanov, D.; Tavares, J. M. R.; Taylor, Z.; Xiao, Y.

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation: International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings Journal Article

In: Springer, 2018.

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Bakas, S.; others,

CPM 2018 preface: International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 Journal Article

In: Lect. Notes Comput. Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinforma., vol. 1104, 2018, (2 LNCS, p. XI).

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Midya, A.; Chakraborty, J.; Gönen, M.; d, R. K. G. D. M.; Simpson, A. L.

Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility Journal Article

In: J. Med. Imaging, vol. 5, no. 1, pp. 011020, 2018.

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Horvat, N.; others,

Imaging features of hepatocellular carcinoma compared to intrahepatic cholangiocarcinoma and combined tumor on MRI using liver imaging and data system (LI-RADS) version 2014 Journal Article

In: Abdom. Radiol., vol. 43, no. 1, pp. 169-178, 2018.

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2017

Heiselman, J. S.; others,

Characterization and correction of intraoperative soft tissue deformation in image-guided laparoscopic liver surgery Journal Article

In: J. Med. Imaging, vol. 5, no. 2, pp. 021203, 2017.

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Chakraborty, J.; others,

Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients Journal Article

In: PLOS ONE, vol. 12, no. 12, pp. e0188022, 2017.

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Zheng, J.; others,

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Quantitative Image Analysis Journal Article

In: J. Am. Coll. Surg., vol. 225, no. 6, pp. 778-788.e1, 2017.

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Pak, L. M.; others,

Quantitative Imaging Features of Preoperative Computed Tomography Images Predict Post-Hepatectomy Liver Insufficiency: A Multi-Institutional Expansion Cohort Journal Article

In: J. Am. Coll. Surg., vol. 225, no. 4, 2017, (Supplement 1, p. S137).

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Clements, L. W.; others,

Deformation correction for image guided liver surgery: An intraoperative fidelity assessment Journal Article

In: Surgery, vol. 162, no. 3, pp. 537-547, 2017.

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Simpson, A. L.; others,

Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer Journal Article

In: Ann. Surg. Oncol., vol. 24, no. 9, pp. 2482-2490, 2017.

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Collins, J. A.; others,

Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework Journal Article

In: IEEE Trans. Med. Imaging, vol. 36, no. 7, pp. 1502-1510, 2017.

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Pak, L. M.; others,

Mutational profiling of resected intrahepatic cholangiocarcinoma Journal Article

In: J. Clin. Oncol., vol. 35, no. 15, pp. e15675-e15675, 2017, (_suppl).

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Attiyeh, M. A.; others,

Behind the cyst: predicting grade of dysplasia in intraductal papillary mucinous neoplasms (IPMNs) by quantitative image analysis Journal Article

In: HPB, vol. 19, pp. S22, 2017.

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Chakraborty, J.; others,

Preoperative assessment of microvascular invasion in hepatocellular carcinoma Journal Article

In: Medical Imaging, vol. 2017: Computer-Aided Diagnosis, SPIE, pp. 248-254, 2017.

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Gazit, L.; others,

Quantification of CT images for the classification of high- and low-risk pancreatic cysts Journal Article

In: Medical Imaging, vol. 2017: Computer-Aided Diagnosis, SPIE, pp. 220-225, 2017.

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Attiyeh, M.; others,

Through the Looking-Mass: Preoperative Survival Prediction in Pancreatic Ductal Adenocarcinoma (PDAC) by Quantitative CT Analysis Journal Article

In: ANNALS OF SURGICAL ONCOLOGY, SPRINGER, vol. 233 SPRING ST, NEW YORK, NY 10013 USA, pp. S99-S99, 2017.

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2016

Ong, R.; others,

A novel method for texture-mapping conoscopic surfaces for minimally invasive image-guided kidney surgery Journal Article

In: Int. J. Comput. Assist. Radiol. Surg., vol. 11, no. 8, pp. 1515-1526, 2016.

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Miga, M. I.; others,

Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 cases Journal Article

In: Int. J. Comput. Assist. Radiol. Surg., vol. 11, no. 8, pp. 1467-1474, 2016.

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Simpson, A. L.; Kingham, T. P.

Current Evidence in Image-Guided Liver Surgery Journal Article

In: J. Gastrointest. Surg., vol. 20, no. 6, pp. 1265-1269, 2016.

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Chakraborty, J.; others,

Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy Journal Article

In: Medical Imaging, vol. 2016: Image Processing, SPIE, pp. 505-510, 2016.

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Clements, L. W.; others,

Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound Journal Article

In: J. Med. Imaging, vol. 3, no. 1, pp. 015003, 2016.

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2015

Herbert, G. S.; others,

Early trends in serum phosphate and creatinine levels are associated with mortality following major hepatectomy Journal Article

In: HPB, vol. 17, no. 12, pp. 1058-1065, 2015.

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Joiner, B. J.; Simpson, A. L.; Leal, J. N.; D'Angelica, M. I.; Do, R. K. G.

Assessing splenic enlargement on CT by unidimensional measurement changes in patients with colorectal liver metastases Journal Article

In: Abdom. Imaging, vol. 40, no. 7, pp. 2338-2344, 2015.

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Sadot, E.; others,

Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes Journal Article

In: PLOS ONE, vol. 10, no. 7, pp. e0132953, 2015.

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Simpson, A. L.; others,

Chemotherapy-Induced Splenic Volume Increase Is Independently Associated with Major Complications after Hepatic Resection for Metastatic Colorectal Cancer Journal Article

In: J. Am. Coll. Surg., vol. 220, no. 3, pp. 271-280, 2015.

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Simpson, A. L.; others,

Texture Analysis of Preoperative CT Images for Prediction of Postoperative Hepatic Insufficiency: A Preliminary Study Journal Article

In: J. Am. Coll. Surg., vol. 220, no. 3, pp. 339-346, 2015.

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2014

Simpson, A. L.; Jarnagin, W. R.; D'Angelica, M. I.

Hepatic Resection Planning in the Modern Era: In reply to Mise and colleagues Journal Article

In: J. Am. Coll. Surg., vol. 219, no. 6, pp. 1195, 2014.

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Leung, U.; others,

Remnant Growth Rate after Portal Vein Embolization Is a Good Early Predictor of Post-Hepatectomy Liver Failure Journal Article

In: J. Am. Coll. Surg., vol. 219, no. 4, pp. 620-630, 2014.

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Simpson, A. L.; Ma, B.; Vasarhelyi, E. M.; Borschneck, D. P.; Ellis, R. E.; Stewart, A. James

Computation and visualization of uncertainty in surgical navigation Journal Article

In: Int. J. Med. Robot., vol. 10, no. 3, pp. 332-343, 2014.

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Simpson, A. L.; others,

Liver Planning Software Accurately Predicts Postoperative Liver Volume and Measures Early Regeneration Journal Article

In: J. Am. Coll. Surg., vol. 219, no. 2, pp. 199-207, 2014.

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Simpson, A. L.; others,

Evaluation of Conoscopic Holography for Estimating Tumor Resection Cavities in Model-Based Image-Guided Neurosurgery Journal Article

In: IEEE Trans. Biomed. Eng., vol. 61, no. 6, pp. 1833-1843, 2014.

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Pheiffer, T. S.; Thompson, R. C.; Rucker, D. C.; Simpson, A. L.; Miga, M. I.

Model-Based Correction of Tissue Compression for Tracked Ultrasound in Soft Tissue Image-Guided Surgery Journal Article

In: Ultrasound Med. Biol., vol. 40, no. 4, pp. 788-803, 2014.

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Simpson, A. L.; Do, R. K.; Parada, E. P.; Miga, M. I.; Jarnagin, W. R.

Texture feature analysis for prediction of postoperative liver failure prior to surgery Journal Article

In: Medical Imaging, vol. 2014: Image Processing, SPIE, pp. 278-283, 2014.

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Simpson, A. L.; others,

Chemotherapy induced splenic volume increase is associated with major complications after hepatic resection for metastatic colorectal cancer Journal Article

In: J. Am. Coll. Surg., vol. 219, no. 4, pp. e115, 2014.

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Sun, K.; Pheiffer, T. S.; Simpson, A. L.; Weis, J. A.; Thompson, R. C.; Miga, M. I.

Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical Models Journal Article

In: IEEE J. Transl. Eng. Health Med., vol. 2, pp. 1-13, 2014.

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Rucker, D. C.; others,

A Mechanics-Based Nonrigid Registration Method for Liver Surgery Using Sparse Intraoperative Data Journal Article

In: IEEE Trans. Med. Imaging, vol. 33, no. 1, pp. 147-158, 2014.

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2013

Chen, I.; Ong, R. E.; Simpson, A. L.; Sun, K.; Thompson, R. C.; Miga, M. I.

Integrating Retraction Modeling Into an Atlas-Based Framework for Brain Shift Prediction Journal Article

In: IEEE Trans. Biomed. Eng., vol. 60, no. 12, pp. 3494-3504, 2013.

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Burgner, J.; others,

A study on the theoretical and practical accuracy of conoscopic holography-based surface measurements: toward image registration in minimally invasive surgery Journal Article

In: Int. J. Med. Robot., vol. 9, no. 2, pp. 190-203, 2013.

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Simpson, A. L.; Dumpuri, P.; Ondrake, J. E.; Weis, J. A.; Jarnagin, W. R.; Miga, M. I.

Preliminary study of a novel method for conveying corrected image volumes in surgical navigation Journal Article

In: Int. J. Med. Robot., vol. 9, no. 1, pp. 109-118, 2013.

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Simpson, A. L.; others,

Comparison Study of Intraoperative Surface Acquisition Methods for Surgical Navigation Journal Article

In: IEEE Trans. Biomed. Eng., vol. 60, no. 4, pp. 1090-1099, 2013.

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2012

Pheiffer, T. S.; Simpson, A. L.; Lennon, B.; Thompson, R. C.; Miga, M. I.

Design and evaluation of an optically-tracked single-CCD laser range scanner Journal Article

In: Med. Phys., vol. 39, no. 2, pp. 636-642, 2012.

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Simpson, A. L.; Dumpuri, P.; Jarnagin, W. R.; Miga, M. I.

Model-Assisted Image-Guided Liver Surgery Using Sparse Intraoperative Data Book Section

In: Mechanobiology, (Ed.): Soft Tissue Biomechanical Modeling for Computer Assisted Surgery, Y. Payan, pp. 7-40, Springer, Heidelberg, 2012.

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2011

Ding, S.; Miga, M. I.; Pheiffer, T. S.; Simpson, A. L.; Thompson, R. C.; Dawant, B. M.

Tracking of Vessels in Intra-Operative Microscope Video Sequences for Cortical Displacement Estimation Journal Article

In: IEEE Trans. Biomed. Eng., vol. 58, no. 7, pp. 1985-1993, 2011.

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2008

Simpson, A. L.; Ma, B.; Slagel, B.; Borschneck, D. P.; Ellis, R. E.

Computer-assisted distraction osteogenesis by Ilizarov's method Journal Article

In: Int. J. Med. Robot., vol. 4, no. 4, pp. 310-320, 2008.

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Simpson, A. L.; Ma, B.; Slagel, B.; Borschneck, D. P.; Ellis, R. E.

COMPUTER-ASSISTED DISTRACTION OSTEOGENESIS USING THE TAYLOR FRAME: INITIAL CLINICAL EXPERIENCES Journal Article

In: Orthop. Proc., vol. 90, pp. 558-558, 2008, (-B, no. SUPP_III).

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2007

Ma, B.; Simpson, A. L.; Ellis, R. E.

Innovative Clinical and Biological Applications–III-Proof of Concept of a Simple Computer-Assisted Technique for Correcting Bone Deformities Journal Article

In: Lect. Notes Comput. Sci., vol. 4792, pp. 935-942, 2007.

BibTeX

Ma, B.; Simpson, A. L.; Ellis, R. E.

Proof of Concept of a Simple Computer–Assisted Technique for Correcting Bone Deformities Book Section

In: Computing, Medical Image; Computer-Assiste, (Ed.): Intervention – MICCAI 2007, N. Ayache, S. Ourselin, and A. Maeder,in Lecture Notes in Computer Science, pp. 935-942, Springer, Heidelberg, 2007.

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Simpson, A. L.; Ma, B.; Chen, E. C. S.; Ellis, R. E.; Stewart, A. J.

Computation and Validation of Intra- operative Camera Uncertainty Proceedings Article

In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 479-482, 2007.

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2006

Simpson, A.; Ma, B.; Borschneck, D.; Ellis, R.

Computer-assisted distraction osteogenesis by Ilizarov's method: a case report Journal Article

In: Int. J. Comput. Assist. Radiol. Surg., vol. 1, pp. 247, 2006.

BibTeX

Simpson, A. L.; Ma, B.; Chen, E. C. S.; Ellis, R. E.; Stewart, A. J.

Using Registration Uncertainty Visualization in a User Study of a Simple Surgical Task Book Section

In: Computing, Medical Image; Computer-Assiste, (Ed.): Intervention – MICCAI 2006, R. Larsen, M. Nielsen, and J. Sporring,in Lecture Notes in Computer Science, pp. 397-404, Springer, Heidelberg, 2006.

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2005

Simpson, A. L.; Ma, B.; Borschneck, D. P.; Ellis, R. E.

Computer–Assisted Deformity Correction Using the Ilizarov Method Book Section

In: Computing, Medical Image; Computer-Assiste, (Ed.): Intervention – MICCAI 2005, J. S. Duncan and G. Gerig,in Lecture Notes in Computer Science, pp. 459-466, Springer, Heidelberg, 2005.

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