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Amber Lea Simpson
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2020 – today
- 2025
[j13]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. Frontiers Artif. Intell. 8 (2025)- [i10]Jacob J. Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai, HyunSeon Christine Kang, Xiujiang John Rong, Yun Shin Chun, Richard K. G. Do, Amber L. Simpson:
Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases. CoRR abs/2501.11221 (2025) - 2024
- [j12]Mohammad Hamghalam
, Amber L. Simpson:
Medical image synthesis via conditional GANs: Application to segmenting brain tumours. Comput. Biol. Medicine 170: 107982 (2024) - [j11]Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard K. G. Do, Amber L. Simpson, Jacob J. Peoples, Bruno De Man:
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Vis. Comput. Ind. Biomed. Art 7(1): 13 (2024) - [c44]Maede Ashofteh Barabadi, Wai-Yip Chan, Xiaodan Zhu, Amber L. Simpson, Richard K. G. Do:
Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection. CCECE 2024: 340-345 - [c43]Mohammad Hamghalam, Robert Moreland, David Gomez, Hui-Ming Lin, Ali Babaei Jandaghi, Monica Tafur Arciniegas, Paraskevi A. Vlachou, Matthew Wu, Michael Brassil, Priscila Crivellaro, Shobhit Mathur, Shahob Hosseinpour, Errol Colak, Amber L. Simpson:
Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans. ISBI 2024: 1-5 - [c42]Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein:
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? MICCAI (10) 2024: 124-132 - [i9]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i8]Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, Manuel Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein:
Confidence intervals uncovered: Are we ready for real-world medical imaging AI? CoRR abs/2409.17763 (2024) - 2023
- [j10]Abhishek Midya, Jayasree Chakraborty, Rami Srouji, Raja R. Narayan, Thomas Börner, Jian Zheng, Linda M. Pak, John M. Creasy, Luz A. Escobar, Kate A. Harrington, Mithat Gönen, Michael I. D'Angelica, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson:
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. IEEE J. Biomed. Health Informatics 27(5): 2456-2464 (2023) - [c41]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI 2023 - [c40]Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c39]Jacob J. Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai, HyunSeon Christine Kang, Xiujiang John Rong, Yun Shin Chun, Richard K. G. Do, Amber L. Simpson:
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. UNSURE@MICCAI 2023: 42-52 - [c38]Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 311-321 - [i7]Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases. CoRR abs/2308.15932 (2023) - [i6]Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. CoRR abs/2308.16598 (2023) - [i5]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection from Clinical Notes. CoRR abs/2310.18472 (2023) - 2022
- [j9]Karen E. Batch, Jianwei Yue, Alex Darcovich, Kaelan Lupton, Corinne C. Liu, David P. Woodlock, Mohammad Ali K. El Amine, Pamela I. Causa-Andrieu, Lior Gazit, Gary H. Nguyen, Farhana H. Zulkernine, Richard K. G. Do, Amber L. Simpson:
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. Frontiers Artif. Intell. 5: 826402 (2022) - [c37]Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson:
Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size. BrainLes@MICCAI 2022: 195-204 - [c36]Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. MMMI@MICCAI 2022: 110-120 - 2021
- [c35]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. MICCAI (7) 2021: 442-452 - [c34]Hassan Muhammad, Chensu Xie, Carlie S. Sigel, Michael Doukas, Lindsay Alpert, Amber Lea Simpson, Thomas J. Fuchs:
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting. MIDL 2021: 520-531 - [i4]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i3]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. CoRR abs/2107.03442 (2021) - 2020
- [c33]Travis L. Williams, Kate A. Harrington, Sharon A. Lawrence, Jayasree Chakraborty, Mohammad A. Al Efishat, Marc A. Attiyeh, Gokce Askan, Yuting Chou, Alessandra Pulvirenti, Caitlin A. McIntyre, Mithat Gonen, Olca Basturk, Vinod P. Balachandran, T. Peter Kingham, Michael I. D'Angelica, William R. Jarnagin, Jeffrey A. Drebin, Richard K. G. Do, Peter J. Allen, Amber L. Simpson:
A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. Image-Guided Procedures 2020: 113151Q
2010 – 2019
- 2019
- [c32]Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs:
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder. MICCAI (1) 2019: 604-612 - [i2]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i1]Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs:
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary. CoRR abs/1903.05257 (2019) - 2018
- [c31]Jayasree Chakraborty, Alessandra Pulvirenti, Rikiya Yamashita, Abhishek Midya, Mithat Gönen, David S. Klimstra, Diane L. Reidy, Peter J. Allen, Richard K. G. Do, Amber L. Simpson:
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. Computer-Aided Diagnosis 2018: 105751N - [c30]Abhishek Midya, Jayasree Chakraborty, Linda M. Pak, Jian Zheng, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Computer-Aided Diagnosis 2018: 1057528 - [c29]Jon S. Heiselman, Jarrod A. Collins, Logan W. Clements, Jared A. Weis, Amber L. Simpson, Sunil K. Geevarghese, T. Peter Kingham, William R. Jarnagin, Michael I. Miga:
Technical note: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data. Image-Guided Procedures 2018: 105760D - [e1]Danail Stoyanov, Zeike Taylor, Stephen R. Aylward, João Manuel R. S. Tavares, Yiming Xiao, Amber L. Simpson, Anne L. Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani:
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. Lecture Notes in Computer Science 11042, Springer 2018, ISBN 978-3-030-01044-7 [contents] - 2017
- [j8]Jarrod A. Collins, Jared A. Weis, Jon S. Heiselman, Logan W. Clements, Amber L. Simpson, William R. Jarnagin, Michael I. Miga:
Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework. IEEE Trans. Medical Imaging 36(7): 1502-1510 (2017) - [c28]Lior Gazit, Jayasree Chakraborty, Marc A. Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson:
Quantification of CT images for the classification of high- and low-risk pancreatic cysts. Computer-Aided Diagnosis 2017: 101340X - [c27]Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson:
Preoperative assessment of microvascular invasion in hepatocellular carcinoma. Computer-Aided Diagnosis 2017: 1013410 - [c26]William R. Jarnagin, Amber L. Simpson, Michael I. Miga:
Toward integrated image guided liver surgery. Image-Guided Procedures 2017: 101350R - [c25]Jarrod A. Collins, Jon S. Heiselman, Jared A. Weis, Logan W. Clements, Amber L. Simpson, William R. Jarnagin, Michael I. Miga:
On the nature of data collection for soft-tissue image-to-physical organ registration: a noise characterization study. Image-Guided Procedures 2017: 101351Y - [c24]Burton Ma, Niloofar Banihaveb, Joy Choi, Elvis C. S. Chen, Amber L. Simpson:
Is pose-based pivot calibration superior to sphere fitting? Image-Guided Procedures 2017: 101351U - [c23]Burton Ma, T. Peter Kingham, Michael I. Miga, William R. Jarnagin, Amber L. Simpson:
Liver segmentation in color images. Image-Guided Procedures 2017: 101351O - [c22]Jon S. Heiselman, Jarrod A. Collins, Logan W. Clements, Jared A. Weis, Amber L. Simpson, Sunil K. Geevarghese, William R. Jarnagin, Michael I. Miga:
Emulation of the laparoscopic environment for image-guided liver surgery via an abdominal phantom system with anatomical ligamenture. Image-Guided Procedures 2017: 101352W - 2016
- [j7]Michael I. Miga, Kay Sun, Ishita Chen, Logan W. Clements, Thomas S. Pheiffer, Amber L. Simpson, Reid Carleton Thompson:
Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 cases. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1467-1474 (2016) - [j6]Rowena E. Ong, Courtenay L. Glisson, Jessica Burgner-Kahrs, Amber L. Simpson, Andrei Danilchenko, Ray A. Lathrop, S. Duke Herrell, Robert J. Webster III, Michael I. Miga, Robert L. Galloway:
A novel method for texture-mapping conoscopic surfaces for minimally invasive image-guided kidney surgery. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1515-1526 (2016) - [c21]Jayasree Chakraborty, Liana Langdon-Embry, Joanna G. Escalon, Peter J. Allen, Maeve A. Lowery, Eileen M. O'Reilly, Richard K. G. Do, Amber L. Simpson:
Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy. Image Processing 2016: 97841W - 2015
- [c20]Logan W. Clements, Jarrod A. Collins, Yifei Wu, Amber L. Simpson, William R. Jarnagin, Michael I. Miga:
Validation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound: preliminary method and results. Image-Guided Procedures 2015: 94150T - [c19]Universe Leung, Amber L. Simpson, Lauryn B. Adams, William R. Jarnagin, Michael I. Miga, T. Peter Kingham:
Image guidance improves localization of sonographically occult colorectal liver metastases. Image-Guided Procedures 2015: 94151L - 2014
- [j5]Amber L. Simpson, Kay Sun, Thomas S. Pheiffer, D. Caleb Rucker, Allen K. Sills, Reid Carleton Thompson, Michael I. Miga:
Evaluation of Conoscopic Holography for Estimating Tumor Resection Cavities in Model-Based Image-Guided Neurosurgery. IEEE Trans. Biomed. Eng. 61(6): 1833-1843 (2014) - [j4]D. Caleb Rucker, Yifei Wu, Logan W. Clements, Janet E. Ondrake, Thomas S. Pheiffer, Amber L. Simpson, William R. Jarnagin, Michael I. Miga:
A Mechanics-Based Nonrigid Registration Method for Liver Surgery Using Sparse Intraoperative Data. IEEE Trans. Medical Imaging 33(1): 147-158 (2014) - [c18]Yifei Wu, D. Caleb Rucker, Rebekah H. Conley, Thomas S. Pheiffer, Amber L. Simpson, Sunil K. Geevarghese, Michael I. Miga:
Registration of liver images to minimally invasive intraoperative surface and subsurface data. Image-Guided Procedures 2014: 90360V - [c17]Amber L. Simpson, Richard K. G. Do, E. Patricia Parada, Michael I. Miga, William R. Jarnagin:
Texture feature analysis for prediction of postoperative liver failure prior to surgery. Image Processing 2014: 903414 - 2013
- [j3]Amber L. Simpson, Jessica Burgner, Courtenay L. Glisson, S. Duke Herrell, Burton Ma, Thomas S. Pheiffer, Robert J. Webster III, Michael I. Miga:
Comparison Study of Intraoperative Surface Acquisition Methods for Surgical Navigation. IEEE Trans. Biomed. Eng. 60(4): 1090-1099 (2013) - [j2]Ishita Chen, Rowena E. Ong, Amber L. Simpson, Kay Sun, Reid Carleton Thompson, Michael I. Miga:
Integrating Retraction Modeling Into an Atlas-Based Framework for Brain Shift Prediction. IEEE Trans. Biomed. Eng. 60(12): 3494-3504 (2013) - [c16]Ishita Chen, Amber L. Simpson, Kay Sun, Reid Carleton Thompson, Michael I. Miga:
Sensitivity analysis and automation for intraoperative implementation of the atlas-based method for brain shift correction. Image-Guided Procedures 2013: 86710T - [c15]D. Caleb Rucker, Yifei Wu, Janet E. Ondrake, Thomas S. Pheiffer, Amber L. Simpson, Michael I. Miga:
Nonrigid liver registration for image-guided surgery using partial surface data: a novel iterative approach. Image-Guided Procedures 2013: 86710B - [c14]Thomas S. Pheiffer, Amber L. Simpson, Janet E. Ondrake, Michael I. Miga:
Geometric reconstruction using tracked ultrasound strain imaging. Image-Guided Procedures 2013: 86711E - [c13]Amber L. Simpson, Neal P. Dillon, Michael I. Miga, Burton Ma:
A framework for measuring TRE at the tip of an optically tracked pointing stylus. Image-Guided Procedures 2013: 867114 - [c12]Ankur N. Kumar, Thomas S. Pheiffer, Amber L. Simpson, Reid Carleton Thompson, Michael I. Miga, Benoit M. Dawant:
Phantom-based comparison of the accuracy of point clouds extracted from stereo cameras and laser range scanner. Image-Guided Procedures 2013: 867125 - 2012
- [c11]Philip J. Swaney, Jessica Burgner, Thomas S. Pheiffer, D. Caleb Rucker, Hunter B. Gilbert, Janet E. Ondrake, Amber L. Simpson, Everette Clif Burdette, Michael I. Miga, Robert J. Webster III:
Tracked 3D ultrasound targeting with an active cannula. Image-Guided Procedures 2012: 83160R - [c10]Kristen E. Miller, Janet E. Ondrake, Thomas S. Pheiffer, Amber L. Simpson, Michael I. Miga:
Utilizing ultrasound as a surface digitization tool in image guided liver surgery. Image-Guided Procedures 2012: 83163D - [c9]Michael J. Shannon, Ingrid M. Meszoely, Janet E. Ondrake, Thomas S. Pheiffer, Amber L. Simpson, Kay Sun, Michael I. Miga:
Initial study of breast tissue retraction toward image guided breast surgery. Image-Guided Procedures 2012: 831621 - [c8]Amber L. Simpson, Jessica Burgner, Ishita Chen, Thomas S. Pheiffer, Kay Sun, Reid Carleton Thompson, Robert J. Webster III, Michael I. Miga:
Intraoperative brain tumor resection cavity characterization with conoscopic holography. Image-Guided Procedures 2012: 831631 - 2011
- [j1]Siyi Ding, Michael I. Miga, Thomas S. Pheiffer, Amber L. Simpson, Reid Carleton Thompson, Benoit M. Dawant:
Tracking of Vessels in Intra-Operative Microscope Video Sequences for Cortical Displacement Estimation. IEEE Trans. Biomed. Eng. 58(7): 1985-1993 (2011) - [c7]Michael I. Miga, Prashanth Dumpuri, Amber L. Simpson, Jared A. Weis, William R. Jarnagin:
The sparse data extrapolation problem: strategies for soft-tissue correction for image-guided liver surgery. Image-Guided Procedures 2011: 79640C - [c6]Amber L. Simpson, Burton Ma, Randy E. Ellis, A. James Stewart, Michael I. Miga:
Uncertainty propagation and analysis of image-guided surgery. Image-Guided Procedures 2011: 79640H - [c5]Courtenay L. Glisson, Rowena E. Ong, Amber L. Simpson, Peter Clark, S. Duke Herrell, Robert L. Galloway:
The use of virtual fiducials in image-guided kidney surgery. Image-Guided Procedures 2011: 796402 - [c4]Thomas S. Pheiffer, Brian Lennon, Amber L. Simpson, Michael I. Miga:
Development of a novel laser range scanner. Image-Guided Procedures 2011: 796424 - 2010
- [b1]Amber L. Simpson:
The Computation and Visualization of Uncertainty in Surgical Navigation. Queen's University at Kingston, Ontario, Canada, 2010
2000 – 2009
- 2007
- [c3]Burton Ma, Amber L. Simpson, Randy E. Ellis:
Proof of Concept of a Simple Computer-Assisted Technique for Correcting Bone Deformities. MICCAI (2) 2007: 935-942 - 2006
- [c2]Amber L. Simpson, Burton Ma, Elvis C. S. Chen, Randy E. Ellis, A. James Stewart:
Using Registration Uncertainty Visualization in a User Study of a Simple Surgical Task. MICCAI (2) 2006: 397-404 - 2005
- [c1]Amber L. Simpson, Burton Ma, Dan P. Borschneck, Randy E. Ellis:
Computer-Assisted Deformity Correction Using the Ilizarov Method. MICCAI 2005: 459-466
Coauthor Index
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