Dr. Pierre-François D’Haese Profile

Dr. Pierre-François D’Haese

Research Assistant Professor of EECS at West Virginia Univ

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 3 April 2024 Presentation + Paper

Quantifying input data drift in medical machine learning models by detecting change-points in time-series data

Smriti Prathapan, Ravi Samala, Nathan Hadjiyski, Pierre-François D’Haese, Fabien Maldonado, Phuong Nguyen, Yelena Yesha, Berkman Sahiner

Proceedings Volume 12927, 129270E (2024) https://doi.org/10.1117/12.3008771

KEYWORDS: Data modeling, Artificial intelligence, Performance modeling, Mammography, Machine learning, Computer simulations, Tunable filters, Solid modeling, Education and training, Detection theory

Read Abstract +

Proceedings Article | 15 March 2019 Paper

Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps

Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison Hainline, Rui Li, Robert Shults, Pierre D’Haese, Peter Konrad, Benoit Dawant, Bennett Landman

Proceedings Volume 10949, 1094922 (2019) https://doi.org/10.1117/12.2509728

KEYWORDS: Magnetic resonance imaging, Machine learning, Brain mapping, Surgery, Brain stimulation, Data acquisition, Electrodes, Brain

Read Abstract +

Proceedings Article | 8 March 2019 Presentation + Paper

Evaluation of nonrigid registration around the hippocampus for the construction of statistical maps in a multicenter dataset of epilepsy laser ablation patients

Srijata Chakravorti, Walter Jermakowicz, Chengyuan Wu, Rui Li, Raul Wirz-Gonzalez, Benoit Dawant, Pierre-François D'Haese

Proceedings Volume 10951, 109511J (2019) https://doi.org/10.1117/12.2512587

KEYWORDS: Image registration, Image segmentation, Epilepsy, Surgery, Error analysis, Laser ablation, Laser therapeutics, Image processing, Head

Read Abstract +

Proceedings Article | 8 March 2019 Paper

Validation of an automatic algorithm to identify NeuroPace depth leads in CT images

Srijata Chakravorti, Rui Li, William Rodriguez, Robert Shults, Ashwini Sharan, Dario Englot, Peter Konrad, Pierre-François D'Haese, Benoit Dawant

Proceedings Volume 10951, 109512D (2019) https://doi.org/10.1117/12.2512580

KEYWORDS: Lead, Electrodes, Computed tomography, Epilepsy, Image resolution, Skull, Brain, Image processing

Read Abstract +

Proceedings Article | 24 February 2017 Presentation + Paper

Multi-modal and targeted imaging improves automated mid-brain segmentation

Andrew Plassard, Pierre F. D’Haese, Srivatsan Pallavaram, Allen Newton, Daniel Claassen, Benoit Dawant, Bennett Landman

Proceedings Volume 10133, 101330J (2017) https://doi.org/10.1117/12.2254428

KEYWORDS: Image segmentation, Basal ganglia, Multimodal imaging, Limbic system, Thalamus, Brain, Surgery, Gemini Planet Imager, Image resolution, Image processing algorithms and systems

Read Abstract +

Proceedings Article | 21 March 2016 Paper

On the fallacy of quantitative segmentation for T1-weighted MRI

Andrew Plassard, Robert Harrigan, Allen Newton, Swati Rane, Srivatsan Pallavaram, Pierre D'Haese, Benoit Dawant, Daniel Claassen, Bennett Landman

Proceedings Volume 9784, 978416 (2016) https://doi.org/10.1117/12.2216994

KEYWORDS: Image segmentation, Magnetic resonance imaging, Scanners, Physics, Image processing, Neuroimaging, Brain, Visualization, Data acquisition, Multimodal imaging, Medical imaging, Image fusion

Read Abstract +

Proceedings Article | 18 March 2015 Paper

Thalamic nuclei segmentation in clinical 3T T1-weighted Images using high-resolution 7T shape models

Yuan Liu, Pierre-François D'Haese, Allen Newton, Benoit Dawant

Proceedings Volume 9415, 94150E (2015) https://doi.org/10.1117/12.2081660

KEYWORDS: Image segmentation, Thalamus, Image registration, Magnetic resonance imaging, Image resolution, Statistical modeling, Lithium, 3D modeling, Signal to noise ratio, Surgery

Read Abstract +

Proceedings Article | 12 March 2014 Paper

Effects of deformable registration algorithms on the creation of statistical maps for preoperative targeting in deep brain stimulation procedures

Yuan Liu, Pierre-Francois D'Haese, Benoit Dawant

Proceedings Volume 9036, 90362B (2014) https://doi.org/10.1117/12.2043529

KEYWORDS: Image registration, Detection and tracking algorithms, Clouds, Brain, Brain stimulation, Visualization, Magnetic resonance imaging, Lead, Brain mapping, Image processing

Read Abstract +

Proceedings Article | 24 February 2012 Paper

Segmentation of the optic tracts using graph-based techniques

Jack Noble, Pierre-François D'Haese, Benoit Dawant

Proceedings Volume 8314, 83144I (2012) https://doi.org/10.1117/12.912016

KEYWORDS: Image segmentation, Statistical modeling, Gemini Planet Imager, Surgery, Brain, Electrodes, Optimization (mathematics), Model-based design, Data modeling, Visualization

Read Abstract +

Proceedings Article | 17 February 2012 Paper

Optimizing the delivery of deep brain stimulation using electrophysiological atlases and an inverse modeling approach

Kay Sun, Srivatsan Pallavaram, William Rodriguez, Pierre-Francois D'Haese, Benoit Dawant, Michael Miga

Proceedings Volume 8316, 83162Z (2012) https://doi.org/10.1117/12.912024

KEYWORDS: Electrodes, Brain, Tissues, Brain mapping, Brain stimulation, Optimization (mathematics), Finite element methods, Neurons, Image segmentation, Neuroimaging

Read Abstract +

Proceedings Article | 17 February 2012 Paper

A surgeon specific automatic path planning algorithm for deep brain stimulation

Yuan Liu, Benoit Dawant, Srivatsan Pallavaram, Joseph Neimat, Peter Konrad, Pierre-Francois D'Haese, Ryan Datteri, Bennett Landman, Jack Noble

Proceedings Volume 8316, 83161D (2012) https://doi.org/10.1117/12.911705

KEYWORDS: Surgery, Brain stimulation, Brain, Thalamus, Magnetic resonance imaging, Electrodes, Image segmentation, Neurological disorders, Detection and tracking algorithms, Interfaces

Read Abstract +

Proceedings Article | 2 March 2011 Paper

Potential predictors for the amount of intra-operative brain shift during deep brain stimulation surgery

Ryan Datteri, Srivatsan Pallavaram, Peter Konrad, Joseph Neimat, Pierre-François D'Haese, Benoit Dawant

Proceedings Volume 7964, 79640T (2011) https://doi.org/10.1117/12.878504

KEYWORDS: Brain, Surgery, Image segmentation, Electrodes, Computed tomography, Expectation maximization algorithms, Brain stimulation, Scanning probe microscopy, Image registration, Algorithm development

Read Abstract +

Proceedings Article | 21 March 2007 Paper

The VU-DBS project: integrated and computer-assisted planning, intra-operative placement, and post-operative programming of deep-brain stimulators

Benoit Dawant, Pierre-Francois D'Haese, Srivatsan Pallavaram, Rui Li, Hong Yu, John Spooner, Thomas Davis, Chris Kao, Peter Konrad

Proceedings Volume 6509, 650907 (2007) https://doi.org/10.1117/12.711149

KEYWORDS: Computer programming, Electrodes, Lead, Databases, Surgery, Computed tomography, Algorithm development, Magnetic resonance imaging, Image processing, Image registration

Read Abstract +

Proceedings Article | 21 March 2007 Paper

Automated selection of anterior and posterior commissures based on a deformable atlas and its evaluation based on manual selections by neurosurgeons

Srivatsan Pallavaram, Hong Yu, Pierre-Francois D'Haese, John Spooner, Tatsuki Koyama, Bobby Bodenheimer, Chris Kao, Peter Konrad, Benoit Dawant

Proceedings Volume 6509, 65091C (2007) https://doi.org/10.1117/12.709936

KEYWORDS: Microchannel plates, Gemini Planet Imager, Optical spheres, Brain, Telecommunications, Magnetic resonance imaging, Error analysis, Surgery, Detection and tracking algorithms, Image registration

Read Abstract +

Proceedings Article | 12 April 2005 Paper

Computer-aided placement of deep brain stimulators: from planning to intraoperative guidance

Pierre-Francois D'Haese, Srivatsan Pallavaram, Chris Kao, Peter Konrad, Benoit Dawant

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.594866

KEYWORDS: Electrodes, Databases, Signal processing, Brain, Surgery, Image registration, Algorithm development, Detection and tracking algorithms, Magnetic resonance imaging, Wavelets

Read Abstract +

Proceedings Article | 15 May 2003 Paper

Automatic segmentation of brain structures for radiation therapy planning

Pierre-Francois D'Haese, Valerie Duay, Rui Li, Aloys du Bois d'Aische, Thomas Merchant, Anthony Cmelak, Edwin Donnelly, Kenneth Niermann, Benoit Macq, Benoit Dawant

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480392

KEYWORDS: Cerebellum, Radiotherapy, Image segmentation, Brain, Optic nerve, Image resolution, Tumors, Image processing, Spatial resolution, 3D modeling

Read Abstract +

Showing 5 of 16 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years