Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS (Q37003074)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23294985%20AND%20SRC:MED&resulttype=core&format=json

21 February 2020

title

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS (English)

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23294985%20AND%20SRC:MED&resulttype=core&format=json

magnetic resonance imaging

21 February 2020

main subject

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3

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21 February 2020

author name string

Pallavi Tiwari

series ordinal

1

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21 February 2020

John Kurhanewicz

series ordinal

2

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21 February 2020

publication date

13 December 2012

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21 February 2020

published in

Medical Image Analysis

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21 February 2020

volume

17

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21 February 2020

issue

2

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21 February 2020

page(s)

219-235

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Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery

21 February 2020

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29 September 2017

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29 September 2017

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29 September 2017

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29 September 2017

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29 September 2017

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Correlation of proton MR spectroscopic imaging with gleason score based on step-section pathologic analysis after radical prostatectomy

29 September 2017

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29 September 2017

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Grading prostate cancer

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Very selective suppression pulses for clinical MRSI studies of brain and prostate cancer

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Interobserver variation in prostate cancer Gleason scoring: are there implications for the design of clinical trials and treatment strategies?

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In vivo proton MR spectroscopy reveals altered metabolite content in malignant prostate tissue.

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Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.

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4 September 2018

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4 September 2018

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4 September 2018

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4 September 2018

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4 September 2018

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4 September 2018

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4 September 2018

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4 September 2018

1 reference

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The utility of magnetic resonance imaging and spectroscopy for predicting insignificant prostate cancer: an initial analysis

4 September 2018

1 reference

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Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRI

4 December 2018

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12 December 2020

Limited value of endorectal magnetic resonance imaging and transrectal ultrasonography in the staging of clinically localized prostate cancer

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12 December 2020

Classification of prostatic carcinomas

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12 December 2020

What is 'insignificant' prostate carcinoma?

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12 December 2020

Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy

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12 December 2020

In vivo assessment of prostate cancer aggressiveness using magnetic resonance spectroscopic imaging at 3 T with an endorectal coil

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12 December 2020

Prostate cancer detection with multi-parametric MRI: Logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI

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12 December 2020

Detection of prostate cancer by integration of line‐scan diffusion, T2‐mapping and T2‐weighted magnetic resonance imaging; a multichannel statistical classifier

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12 December 2020

Magnetic resonance imaging and spectroscopy of prostate cancer

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12 December 2020

Combined MRI and MR spectroscopy of the prostate before radical prostatectomy

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12 December 2020

10.1016/J.MEDIA.2012.10.004

Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23294985%20AND%20SRC:MED&resulttype=core&format=json

21 February 2020

DBLP publication ID

journals/mia/TiwariKM13

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23294985%20AND%20SRC:MED&resulttype=core&format=json

21 February 2020

PubMed publication ID

23294985

1 reference