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Igor Vidic
Igor Vidic
Healthlytix
在 healthlytix.com 的电子邮件经过验证
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Support vector machine for breast cancer classification using diffusion‐weighted MRI histogram features: Preliminary study
I Vidić, L Egnell, NP Jerome, JR Teruel, TE Sjøbakk, A Østlie, HE Fjøsne, ...
Journal of Magnetic Resonance Imaging 47 (5), 1205-1216, 2018
822018
Multi-modal characterization of vasculature and nanoparticle accumulation in five tumor xenograft models
E Sulheim, J Kim, A van Wamel, E Kim, S Snipstad, I Vidic, IH Grimstad, ...
Journal of controlled release 279, 292-305, 2018
472018
Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm2 range: quality of fit and classification accuracy for different …
I Vidić, L Egnell, NP Jerome, NS White, R Karunamuni, R Rakow‐Penner, ...
Magnetic resonance in medicine 84 (2), 1011-1023, 2020
242020
Discrimination of breast cancer from healthy breast tissue using a three-component diffusion-weighted MRI model
MMS Andreassen, AE Rodríguez-Soto, CC Conlin, I Vidić, TM Seibert, ...
Clinical Cancer Research 27 (4), 1094-1104, 2021
232021
Stromal Collagen Content in Breast Tumors Correlates With In Vivo Diffusion‐Weighted Imaging: A Comparison of Multi b‐Value DWI With Histologic Specimen …
L Egnell, I Vidić, NP Jerome, AM Bofin, TF Bathen, PE Goa
Journal of Magnetic Resonance Imaging 51 (6), 1868-1878, 2020
202020
Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion‐weighted imaging is improved by the inclusion of global or local prior knowledge …
I Vidić, NP Jerome, TF Bathen, PE Goa, PT While
Journal of Magnetic Resonance Imaging 50 (5), 1478-1488, 2019
192019
Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion
PT While, JR Teruel, I Vidić, TF Bathen, PE Goa
Magnetic Resonance Materials in Physics, Biology and Medicine 31, 425-438, 2018
172018
Characterization of the diffusion signal of breast tissues using multi‐exponential models
AE Rodríguez‐Soto, MMS Andreassen, LK Fang, CC Conlin, HH Park, ...
Magnetic resonance in medicine 87 (4), 1938-1951, 2022
162022
Numerical methods for option pricing.
I Vidic
Informatica, 2012
52012
Understanding diffusion‐weighted MRI analysis: Repeatability and performance of diffusion models in a benign breast lesion cohort
NP Jerome, I Vidić, L Egnell, TE Sjøbakk, A Østlie, HE Fjøsne, PE Goa, ...
NMR in Biomedicine 34 (7), e4508, 2021
32021
A caveat to Bayesian estimation in intravoxel incoherent motion modelling
PT While, I Vidic, PE Goa
Proceedings of 24th Annual Meeting of ISMRM, Singapore, 1049, 2016
22016
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
MC de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, NH Tahon, ...
arXiv preprint arXiv:2405.18368, 2024
12024
SEGMENTATION OF PRE AND POST-TREATMENT GLIOMA TISSUE TYPES INCLUDING RESECTION CAVITIES
N White, S Baig, I Vidic, G Mastorakos, R Smith, A Dale, C McDonald, ...
Neuro-Oncology 24, 294-294, 2022
12022
Multi-exponential model of diffusion signal in healthy and cancerous breast tissue with fixed ADCs
AE Rodríguez-Soto, MMS Andreassen, CC Conlin, H Park, I Vidic, ...
International Society of Magnetic Resonance Medicine, 2020
12020
Multi-Parametric Diffusion Weighted Magnetic Resonance Imaging and Analysis in Breast Cancer
I Vidić
NTNU, 2019
12019
Relative enhanced diffusivity in terms of intravoxel incoherent motion
PT While, JR Teruel, I Vidić, TF Bathen, PE Goa
Proceedings of the 24th annual meeting, International Society for Magnetic …, 2016
12016
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
M Correia de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, ...
arXiv e-prints, arXiv: 2405.18368, 2024
2024
Support vector machine for breast cancer classification using DWI histogram features: preliminary study
I Vidić, L Egnell, JR Teruel, TE Sjøbakk, NP Jerome, A Østlie, HE Fjøsne, ...
Proc. Intl. Soc. Mag. Reson. Med 25, 0991, 2017
2017
Repeatability of Diffusion-Weighted Imaging Model Parameters within a Benign Breast Cancer Cohort Influences Optimal Model Choice
NP Jerome, I Vidic, L Egnell, TE Sjøbakk, A Østlie, HE Fjøsne, PE Goa, ...
Physiological noise at low diffusion weighting reduces repeatability of apparent diffusion coefficient independent of underlying diffusion curve characteristics
NP Jerome, I Vidic, L Egnell, TE Sjøbakk, A Østlie, HE Fjøsne, TF Bathen, ...
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