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ORCIDDana H. Brooks
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- affiliation: Northeastern University
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2020 – today
- 2023
[j48]Akil Narayan
, Zexin Liu, Jake A. Bergquist, Chantel Charlebois, Sumientra Rampersad, Lindsay C. Rupp, Dana H. Brooks, Dan White, Jess D. Tate, Rob S. MacLeod:
UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering. Comput. Biol. Medicine 152: 106407 (2023)- [j47]Jess D. Tate, Zexin Liu, Jake A. Bergquist, Sumientra Rampersad, Dan White, Chantel Charlebois, Lindsay C. Rupp, Dana H. Brooks, Rob S. MacLeod, Akil Narayan:
UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. J. Open Source Softw. 8(90): 4249 (2023) - [c105]Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis:
AlignGraph: A Group of Generative Models for Graphs. SDM 2023: 271-279 - [i10]Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis:
AlignGraph: A Group of Generative Models for Graphs. CoRR abs/2301.11273 (2023) - 2022
- [j46]Machteld J. Boonstra, Dana H. Brooks, Peter Loh, Peter M. van Dam:
CineECG: A novel method to image the average activation sequence in the heart from the 12-lead ECG. Comput. Biol. Medicine 141: 105128 (2022) - [j45]Jake A. Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C. Rupp, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod:
Reconstruction of cardiac position using body surface potentials. Comput. Biol. Medicine 142: 105174 (2022) - [j44]Steffen Schuler, Matthias Schaufelberger, Laura R. Bear, Jake A. Bergquist, Matthijs J. M. Cluitmans, Jaume Coll-Font, Önder Nazim Onak, Brian Zenger, Axel Loewe, Rob S. MacLeod, Dana H. Brooks, Olaf Dössel:
Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods. IEEE Trans. Biomed. Eng. 69(6): 2041-2052 (2022) - [c104]Jake A. Bergquist, Lindsay C. Rupp, Anna Busatto, Ben Orkild, Brian Zenger, Wilson Good, Jaume Coll-Font, Akil Narayan, Jess D. Tate, Dana H. Brooks, Rob S. MacLeod:
Heart Position Uncertainty Quantification in the Inverse Problem of ECGI. CinC 2022: 1-4 - [c103]Narimane Gassa, Machteld J. Boonstra, Beata Ondrusova, Jana Svehlíková, Dana H. Brooks, Akil Narayan, Ali S. Rababah, Peter M. van Dam, Rob S. MacLeod, Jess D. Tate, Nejib Zemzemi:
Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization. CinC 2022: 1-4 - [c102]Beata Ondrusova, Machteld J. Boonstra, Jana Svehlíková, Dana H. Brooks, Peter M. van Dam, Ali S. Rababah, Akil Narayan, Rob S. MacLeod, Nejib Zemzemi, Jess D. Tate:
The Effect of Segmentation Variability in Forward ECG Simulation. CinC 2022: 1-4 - [c101]Jess D. Tate, Nejib Zemzemi, Shireen Y. Elhabian, Beáta Ondrusová, Machteld J. Boonstra, Peter M. van Dam, Akil Narayan, Dana H. Brooks, Rob S. MacLeod:
Segmentation Uncertainty Quantification in Cardiac Propagation Models. CinC 2022: 1-4 - 2021
- [j43]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Medical Image Anal. 67: 101841 (2021) - [c100]Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Rate-Regularization and Generalization in Variational Autoencoders. AISTATS 2021: 3880-3888 - [c99]Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. AISTATS 2021: 3961-3969 - [c98]Machteld J. Boonstra, Dana H. Brooks, Peter Loh, Peter M. van Dam:
Relationship Between Cardiac Isochrones and its Mean Anatomical Position in the Heart: The CineECG. CinC 2021: 1-4 - [c97]Jess D. Tate, Shireen Y. Elhabian, Nejib Zemzemi, Wilson W. Good, Peter M. van Dam, Dana H. Brooks, Rob S. MacLeod:
A Cardiac Shape Model for Segmentation Uncertainty Quantification. CinC 2021: 1-4 - [c96]Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus:
Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. EMBC 2021: 6003-6007 - [c95]Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang:
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH 2021: 471-481 - [c94]Jake A. Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C. Rupp, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod:
Simultaneous Multi-heartbeat ECGI Solution with a Time-Varying Forward Model: A Joint Inverse Formulation. FIMH 2021: 493-502 - [c93]Jess D. Tate, Wilson W. Good, Nejib Zemzemi, Machteld J. Boonstra, Peter M. van Dam, Dana H. Brooks, Akil Narayan, Rob S. MacLeod:
Uncertainty Quantification of the Effects of Segmentation Variability in ECGI. FIMH 2021: 515-522 - [i9]Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus:
Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. CoRR abs/2110.12392 (2021) - [i8]Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse:
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. CoRR abs/2111.04807 (2021) - 2020
- [j42]Wilson W. Good, Burak Erem, Brian Zenger, Jaume Coll-Font, Jake A. Bergquist, Dana H. Brooks, Rob S. MacLeod:
Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction. Comput. Biol. Medicine 127: 104059 (2020) - [c92]Jake A. Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C. Rupp, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod:
Improving Localization of Cardiac Geometry Using ECGI. CinC 2020: 1-4 - [c91]Lindsay C. Rupp, Zexin Liu, Jake A. Bergquist, Sumientra Rampersad, Dan White, Jess D. Tate, Dana H. Brooks, Akil Narayan, Rob S. MacLeod:
Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations. CinC 2020: 1-4 - [c90]Jess D. Tate, Nejib Zemzemi, Wilson W. Good, Peter M. van Dam, Dana H. Brooks, Rob S. MacLeod:
Shape Analysis of Segmentation Variability. CinC 2020: 1-4 - [c89]Spencer Lake Jacobs-Skolik, Don Liang, Dana H. Brooks, Deniz Erdogmus, Mathew Yarossi, Eugene Tunik:
A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation. EMBC 2020: 3285-3288 - [c88]Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus:
Motor cortex mapping using active gaussian processes. PETRA 2020: 14:1-14:7 - [c87]Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach. PETRA 2020: 15:1-15:6 - [i7]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). CoRR abs/2001.01005 (2020) - [i6]Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. CoRR abs/2002.06250 (2020) - [i5]Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR abs/2002.09927 (2020)
2010 – 2019
- 2019
- [j41]Setareh Ariafar, Jaume Coll-Font, Dana H. Brooks, Jennifer G. Dy:
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. J. Mach. Learn. Res. 20: 123:1-123:26 (2019) - [j40]Sumientra Rampersad, Biel Roig-Solvas, Mathew Yarossi, Praveen P. Kulkarni, Emiliano Santarnecchi, Alan D. Dorval, Dana H. Brooks:
Prospects for transcranial temporal interference stimulation in humans: A computational study. NeuroImage 202 (2019) - [j39]Biel Roig-Solvas, Lee Makowski, Dana H. Brooks:
A Proximal Operator for Multispectral Phase Retrieval Problems. SIAM J. Optim. 29(4): 2594-2607 (2019) - [c86]Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Structured Disentangled Representations. AISTATS 2019: 2525-2534 - [c85]Matthias Schaufelberger, Steffen Schuler, Laura Bear, Matthijs J. M. Cluitmans, Jaume Coll-Font, Önder Nazim Onak, Olaf Dössel, Dana H. Brooks:
Comparison of Activation Times Estimation for Potential-Based ECG Imaging. CinC 2019: 1-4 - [c84]Sezen Yagmur Günay, Mathew Yarossi, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. NER 2019: 1097-1100 - [c83]Andac Demir, Mathew Yarossi, Damon Hyde, Mouhsin Shafi, Dana H. Brooks, Deniz Erdogmus:
Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit. NER 2019: 1109-1112 - [c82]Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A. Sommer, Dana H. Brooks, Deniz Erdogmus, Eugene Tunik:
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. NER 2019: 1122-1125 - [i4]Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR abs/1911.04594 (2019) - 2018
- [j38]Seyhmus Guler, Moritz Dannhauer, Biel Roig-Solvas, Alexis Gkogkidis, Robert S. MacLeod, Tonio Ball, Jeffrey G. Ojemann, Dana H. Brooks:
Computationally optimized ECoG stimulation with local safety constraints. NeuroImage 173: 35-48 (2018) - [j37]Jaume Coll-Font, Burak Erem, Dana H. Brooks:
A Potential-Based Inverse Spectral Method to Noninvasively Localize Discordant Distributions of Alternans on the Heart From the ECG. IEEE Trans. Biomed. Eng. 65(7): 1554-1563 (2018) - [j36]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS. J. Signal Process. Syst. 90(2): 167-174 (2018) - [c81]Jaume Coll-Font, Linwei Wang, Dana H. Brooks:
A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models. CinC 2018: 1-4 - [c80]Wilson Good, Burak Erem, Jaume Coll-Font, Brian Zenger, Dana H. Brooks, Rob S. MacLeod, Milan Horacek:
Novel Metric Using Laplacian Eigenmaps to Evaluate Ischemic Stress on the Torso Surface. CinC 2018: 1-4 - [c79]Jess D. Tate, Nejib Zemzemi, Wilson Good, Peter M. van Dam, Dana H. Brooks, Rob S. MacLeod:
Effect of Segmentation Variation on ECG Imaging. CinC 2018: 1-4 - [c78]Alican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. MICCAI (2) 2018: 292-299 - [i3]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. CoRR abs/1802.02213 (2018) - [i2]Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Can VAEs Generate Novel Examples? CoRR abs/1812.09624 (2018) - 2017
- [j35]Sindhu Ghanta, Michael I. Jordan, Kivanç Köse, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin. IEEE Trans. Image Process. 26(1): 172-184 (2017) - [c77]Jaume Coll-Font, Dana H. Brooks:
ECG-Based Reconstruction of Heart Position and Orientation with Bayesian Optimization. CinC 2017 - [c76]Jwala Dhamala, Jaume Coll-Font, Jess D. Tate, María de la Salud Guillem Sánchez, Dana H. Brooks, Linwei Wang, Rob S. MacLeod, Sandesh Ghimire:
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC 2017 - [c75]Wilson Good, Burak Erem, Jaume Coll-Font, Dana H. Brooks, Rob S. MacLeod:
Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity. CinC 2017 - [c74]Jess D. Tate, Karli Gillette, Brett M. Burton, Wilson Good, Jaume Coll-Font, Dana H. Brooks, Rob S. MacLeod:
Analyzing Source Sampling to Reduce Error in ECG Forward Simulations. CinC 2017 - [c73]Alican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks. CVPR Workshops 2017: 777-785 - [i1]Alican Bozkurt, Kivanç Köse, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. CoRR abs/1712.00192 (2017) - 2016
- [c72]Matthijs J. M. Cluitmans, Jaume Coll-Font, Burak Erem, Dana H. Brooks, Pietro Bonizzi, Joël M. H. Karel, Paul G. A. Volders, Ralf Peeters, Ronald L. Westra:
Spatiotemporal Activation Time Estimation Improves Noninvasive Localization of Cardiac Electrical Activity. CinC 2016 - [c71]Jaume Coll-Font, Dana H. Brooks, Peter M. van Dam, Jwala Dhamala, Olaf Dössel, María de la Salud Guillem Sánchez, Rob S. MacLeod, Danila Potyagaylo, Walther H. W. Schulze, Jess D. Tate, Linwei Wang:
The Consortium on Electrocardiographic Imaging. CinC 2016 - [c70]Wilson Good, Burak Erem, Jaume Coll-Font, Dana H. Brooks, Rob S. MacLeod:
Novel Biomarker for Evaluating Ischemic Stress Using an Electrogram Derived Phase Space. CinC 2016 - [c69]Biel Roig-Solvas, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network. ISBI 2016: 145-149 - [c68]Seyhmus Guler, Moritz Dannhauer, Burak Erem, Robert S. MacLeod, Don M. Tucker, Sergei Turovets, Phan Luu, Waleed Meleis, Dana H. Brooks:
Optimizing stimulus patterns for dense array TDCS with fewer sources than electrodes using a branch and bound algorithm. ISBI 2016: 229-232 - [c67]Damon E. Hyde, Moritz Dannhauer, Simon K. Warfield, Rob S. MacLeod, Dana H. Brooks:
Evaluation of numerical techniques for solving the current injection problem in biological tissues. ISBI 2016: 876-880 - 2015
- [j34]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements. IEEE Trans. Signal Process. 63(20): 5383-5394 (2015) - [c66]Jaume Coll-Font, Petr Stovícek, Dana H. Brooks, Peter M. van Dam:
Quantitative Comparison of Two Cardiac Electrical Imaging Methods to Localize Pacing Sites. CinC 2015: 217-220 - [c65]Jaume Coll-Font, Danila Potyagaylo, Walther H. W. Schulze, Olaf Dössel, Dana H. Brooks:
Comparison of Temporal Dimensionality Reduction Methods for Constrained Inverse in Cardiac Electrical Imaging. CinC 2015: 237-240 - [c64]Jaume Coll-Font, Brittany Purcell, Jingjia Xu, Petr Stovícek, Dana H. Brooks, Linwei Wang:
Evaluation of 2-norm versus Sparsity Regularization in Spline-Based Joint Reconstruction of Epicardial and Endocardial Potentials from Body-Surface Measurements. CinC 2015: 957-960 - [c63]Burak Erem, Damon Hyde, Jurriaan M. Peters, Frank H. Duffy, Dana H. Brooks, Simon K. Warfield:
Combined delay and graph embedding of epileptic discharges in EEG reveals complex and recurrent nonlinear dynamics. ISBI 2015: 347-350 - [c62]Vivian Pera, Dana H. Brooks, Mark Niedre:
A sparse nonnegative demixing algorithm with intrinsic regularization for multiplexed fluorescence tomography. ISBI 2015: 1044-1047 - [c61]Jaume Coll-Font, Burak Erem, Petr Stovícek, Dana H. Brooks:
A statistical approach to incorporate multiple ECG or EEG recordings with artifactual variability into inverse solutions. ISBI 2015: 1053-1056 - [c60]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Maximum a posteriori estimation of relative abundances of protein conformations. MLSP 2015: 1-5 - 2014
- [j33]Sebastian Eichelbaum, Moritz Dannhauer, Mario Hlawitschka, Dana H. Brooks, Thomas R. Knösche, Gerik Scheuermann:
Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: A comparative evaluation. NeuroImage 101: 513-530 (2014) - [j32]Jamshid Sourati, Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks:
Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. IEEE Trans. Image Process. 23(7): 3057-3070 (2014) - [j31]Burak Erem, Jaume Coll-Font, Ramon Martinez Orellana, Petr Stovícek, Dana H. Brooks:
Using Transmural Regularization and Dynamic Modeling for Noninvasive Cardiac Potential Imaging of Endocardial Pacing With Imprecise Thoracic Geometry. IEEE Trans. Medical Imaging 33(3): 726-738 (2014) - [j30]Burak Erem, Peter M. van Dam, Dana H. Brooks:
Identifying Model Inaccuracies and Solution Uncertainties in Noninvasive Activation-Based Imaging of Cardiac Excitation Using Convex Relaxation. IEEE Trans. Medical Imaging 33(4): 902-912 (2014) - [c59]Umut Orhan, Delia Fernandez-Canellas, Murat Akçakaya, Dana H. Brooks, Deniz Erdogmus:
Utilization of temporal trial dependency in ERP based BCIs. ACSSC 2014: 26-30 - [c58]Jaume Coll-Font, Brett M. Burton, Jess D. Tate, Burak Erem, Darrell J. Swenson, Dafang Wang, Dana H. Brooks, Peter M. van Dam, Rob S. MacLeod:
New Additions to the Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment. CinC 2014: 213-216 - [c57]Jaume Coll-Font, Burak Erem, Petr Stovícek, Dana H. Brooks:
Using a new Time-Independent Average Method for Non-Invasive Cardiac Potential Imaging of Endocardial Pacing with Imprecise Thorax Geometry. CinC 2014: 825-828 - 2013
- [j29]Alejandro F. Frangi, Rod D. Hose, Peter J. Hunter, Nicholas Ayache, Dana H. Brooks:
Guest Editorial Special Issue on Medical Imaging and Image Computing in Computational Physiology. IEEE Trans. Medical Imaging 32(1): 1-7 (2013) - [c56]Brett M. Burton, Burak Erem, Kristin Potter, Paul Rosen, Chris R. Johnson, Dana H. Brooks, Rob S. MacLeod:
Uncertainty Visualization in Forward and Inverse Cardiac Models. CinC 2013: 57-60 - [c55]Jaume Coll-Font, Burak Erem, Alain Karma, Dana H. Brooks:
An Inverse Spectral Method to Localize Discordant Alternans Regions on the Heart from Body Surface Measurements. FIMH 2013: 241-248 - [c54]Ramon Martinez Orellana, Burak Erem, Dana H. Brooks:
Time invariant multi electrode averaging for biomedical signals. ICASSP 2013: 1242-1246 - 2012
- [c53]Moritz Dannhauer, Dana H. Brooks, Don M. Tucker, Robert S. MacLeod:
A pipeline for the simulation of transcranial direct current stimulation for realistic human head models using SCIRun/BioMesh3D. EMBC 2012: 5486-5489 - [c52]Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha:
Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. ICASSP 2012: 705-708 - [c51]F. Noushin Golabchi, Dana H. Brooks:
Axon segmentation in microscopy images - A graphical model based approach. ISBI 2012: 756-759 - [c50]Burak Erem, Petr Stovícek, Dana H. Brooks:
Manifold learning for analysis of low-order nonlinear dynamics in high-dimensional electrocardiographic signals. ISBI 2012: 844-847 - [c49]Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Deniz Erdogmus:
Constrained spectral clustering for image segmentation. MLSP 2012: 1-6 - 2011
- [j28]Srinivas Laxminarayan, Gilead Tadmor, Solomon Gilbert Diamond, Eric L. Miller, Maria Angela Franceschini, Dana H. Brooks:
Modeling habituation in rat EEG-evoked responses via a neural mass model with feedback. Biol. Cybern. 105(5-6): 371-397 (2011) - [j27]Miriam Leeser, Devon Yablonski, Dana H. Brooks, Laurie A. Smith King:
The challenges of writing portable, correct and high performance libraries for GPUs. SIGARCH Comput. Archit. News 39(4): 2-7 (2011) - [c48]Brett M. Burton, Jess D. Tate, Burak Erem, Darrell J. Swenson, Dafang Wang, Michael Steffen, Dana H. Brooks, Peter M. van Dam, Robert S. MacLeod:
A toolkit for forward/inverse problems in electrocardiography within the SCIRun problem solving environment. EMBC 2011: 267-270 - [c47]Georgios Mallas, Amir Rosenthal, Marcella A. Calfon, R. Nika Razansky, Adam Mauskapf, Farouc A. Jaffer, Dana H. Brooks, Vasilis Ntziachristos:
Progress on multimodal molecular / anatomical intravascular imaging of coronary vessels combining near infrared fluorescence and ultrasound. EMBC 2011: 1117-1120 - [c46]Sila Kurugol, Erhan Bas, Deniz Erdogmus, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. EMBC 2011: 3403-3406 - [c45]Burak Erem, Peter M. van Dam, Dana H. Brooks:
Analysis of the criteria of activation-based inverse electrocardiography using convex optimization. EMBC 2011: 3913-3916 - [c44]Burak Erem, Dana H. Brooks, Peter M. van Dam, Jeroen G. Stinstra, Rob S. MacLeod:
Spatiotemporal estimation of activation times of fractionated ECGs on complex heart surfaces. EMBC 2011: 5884-5887 - [c43]Fatemeh Noushin Golabchi, Dana H. Brooks, Andrew Gouldstone, Charles A. DiMarzio:
Refractive effects on optical measurement of alveolar volume: A 2-D ray-tracing approach. EMBC 2011: 7771-7774 - [c42]Burak Erem, Dana H. Brooks:
Differential geometric approximation of the gradient and Hessian on a triangulated manifold. ISBI 2011: 504-507 - [c41]M. Queralt Madrigal, Gilead Tadmor, G. Crosas Cano, Dana H. Brooks:
Low-order 4D dynamical modeling of heart motion under respiration. ISBI 2011: 1326-1329 - 2010
- [j26]Damon Hyde, Eric L. Miller, Dana H. Brooks, Vasilis Ntziachristos:
Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography. IEEE Trans. Medical Imaging 29(2): 365-374 (2010) - [c40]Sila Kurugol, Necmiye Ozay, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation. ICPR 2010: 3955-3958 - [c39]Sila Kurugol, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models. ISBI 2010: 444-447 - [c38]Heidy Sierra, Dana H. Brooks, Charles A. DiMarzio:
3D reconstruction for multimodality phase microscopy using boundary detection constraints. ISBI 2010: 1125-1128
2000 – 2009
- 2009
- [j25]Damon Hyde, Ruben de Kleine, Sarah A. MacLaurin, Eric L. Miller, Dana H. Brooks, Thomas Krucker, Vasilis Ntziachristos:
Hybrid FMT-CT imaging of amyloid-β plaques in a murine Alzheimer's disease model. NeuroImage 44(4): 1304-1311 (2009) - [j24]Qianqian Fang, Stefan A. Carp, Juliette Selb, Gregory Boverman, Quan Zhang, Daniel B. Kopans, Richard H. Moore, Eric L. Miller, Dana H. Brooks, David A. Boas:
Combined Optical Imaging and Mammography of the Healthy Breast: Optical Contrast Derived From Breast Structure and Compression. IEEE Trans. Medical Imaging 28(1): 30-42 (2009) - [c37]