Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

[1]  Purang Abolmaesumi,et al.  Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy , 2016, MICCAI.

[2]  Nassir Navab,et al.  Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization , 2016, Medical Image Anal..

[3]  Peter Savadjiev,et al.  Inter-site and inter-scanner diffusion MRI data harmonization , 2016, NeuroImage.

[4]  Purang Abolmaesumi,et al.  Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study , 2016, International Journal of Computer Assisted Radiology and Surgery.

[5]  Ronald M. Summers,et al.  Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.

[6]  Purang Abolmaesumi,et al.  Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks , 2015, MICCAI.

[7]  Fuzhen Zhuang,et al.  Supervised Representation Learning: Transfer Learning with Deep Autoencoders , 2015, IJCAI.

[8]  Arna van Engelen,et al.  Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning , 2015, IEEE Transactions on Medical Imaging.

[9]  Marleen de Bruijne,et al.  Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols , 2015, IEEE Trans. Medical Imaging.

[10]  Purang Abolmaesumi,et al.  Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study , 2015, IEEE Transactions on Medical Imaging.

[11]  Purang Abolmaesumi,et al.  Augmenting MRI–transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study , 2015, International Journal of Computer Assisted Radiology and Surgery.

[12]  Purang Abolmaesumi,et al.  Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis , 2015, IEEE Transactions on Biomedical Engineering.

[13]  Harald Essig,et al.  Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts , 2015, International Journal of Computer Assisted Radiology and Surgery.

[14]  Masatoshi Okutomi,et al.  A Novel Inference of a Restricted Boltzmann Machine , 2014, 2014 22nd International Conference on Pattern Recognition.

[15]  Stefan Carlsson,et al.  CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

[16]  Tinne Tuytelaars,et al.  Unsupervised Visual Domain Adaptation Using Subspace Alignment , 2013, 2013 IEEE International Conference on Computer Vision.

[17]  Mehdi Moradi,et al.  Ultrasound RF time series for tissue typing: first in vivo clinical results , 2013, Medical Imaging.

[18]  Purang Abolmaesumi,et al.  Tissue Classification Using Ultrasound-Induced Variations in Acoustic Backscattering Features , 2013, IEEE Transactions on Biomedical Engineering.

[19]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[20]  Yuan Shi,et al.  Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[21]  Bruce J Trock,et al.  Upgrading and downgrading of prostate cancer from biopsy to radical prostatectomy: incidence and predictive factors using the modified Gleason grading system and factoring in tertiary grades. , 2012, European urology.

[22]  Yoshua Bengio,et al.  Deep Learning of Representations for Unsupervised and Transfer Learning , 2011, ICML Unsupervised and Transfer Learning.

[23]  José Seabra,et al.  RF Ultrasound Estimation from B-Mode Images , 2012 .

[24]  Yoshua Bengio,et al.  Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.

[25]  Qiang Yang,et al.  A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[26]  Purang Abolmaesumi,et al.  Tissue typing using ultrasound RF time series: experiments with animal tissue samples. , 2010, Medical physics.

[27]  Mariela C. Aguilar,et al.  In vivo Feasibility Study of Polymer Exchange in Phaco-Ersatz Rabbit Eyes , 2010 .

[28]  Purang Abolmaesumi,et al.  Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series , 2009, IEEE Transactions on Biomedical Engineering.

[29]  Purang Abolmaesumi,et al.  Computer-aided diagnosis of prostate cancer with emphasis on ultrasound-based approaches: a review. , 2007, Ultrasound in medicine & biology.

[30]  Jeffrey A. Ketterling,et al.  Recent Advances in Ultrasonic Tissue-Type Imaging of the Prostate , 2007 .

[31]  Yee Whye Teh,et al.  A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.

[32]  William D. O'Brien,et al.  Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging , 2004, IEEE Transactions on Medical Imaging.