Rafael Molina

Universidad de Granada

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Aggelos K. Katsaggelos

Northwestern University

256

Javier Mateos

Universidad de Granada

Xavier Filella

Universitat de Barcelona

Miguel Vega

Universidad de Granada

Antonio M. Ballesta

Universidad Europea de Madrid

S. Derin Babacan

Google (United States)

Pablo Morales-Álvarez

Universidad de Granada

Pablo Ruiz

Northwestern University

Josep M. Augé

Hospital Clínic de Barcelona

Santiago López-Tapia

Northwestern University

Cooperative Institutions

Universitat de Barcelona

177

Hospital Clínic de Barcelona

164

Consorci Institut D'Investigacions Biomediques August Pi I Sunyer

129

Universidad de Granada

Northwestern University

Universitat Autònoma de Barcelona

Instituto de Salud Carlos III

Universitat de València

Centro de Investigación Biomédica en Red

Inserm

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National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines for Use of Tumor Markers in Testicular, Prostate, Colorectal, Breast, and Ovarian Cancers

Clinical Chemistry (2008)

Catharine M. Sturgeon Michael J. Duffy Ulf‐Håkan Stenman Hans Lilja Nils Brünner

Updated National Academy of Clinical Biochemistry (NACB) Laboratory Medicine Practice Guidelines for the use of tumor markers in the clinic have been developed.Published reports relevant to use of tumor markers for 5 cancer sites--testicular, prostate, colorectal, breast, and ovarian--were critically reviewed.For testicular cancer, alpha-fetoprotein, human chorionic gonadotropin, and lactate dehydrogenase are recommended for diagnosis/case finding, staging, prognosis determination, recurrence detection, and therapy monitoring. alpha-Fetoprotein is also recommended for differential diagnosis of nonseminomatous and seminomatous germ cell tumors. Prostate-specific antigen (PSA) is not recommended for prostate cancer screening, but may be used for detecting disease recurrence and monitoring therapy. Free PSA measurement data are useful for distinguishing malignant from benign prostatic disease when total PSA is <10 microg/L. In colorectal cancer, carcinoembryonic antigen is recommended (with some caveats) for prognosis determination, postoperative surveillance, and therapy monitoring in advanced disease. Fecal occult blood testing may be used for screening asymptomatic adults 50 years or older. For breast cancer, estrogen and progesterone receptors are mandatory for predicting response to hormone therapy, human epidermal growth factor receptor-2 measurement is mandatory for predicting response to trastuzumab, and urokinase plasminogen activator/plasminogen activator inhibitor 1 may be used for determining prognosis in lymph node-negative patients. CA15-3/BR27-29 or carcinoembryonic antigen may be used for therapy monitoring in advanced disease. CA125 is recommended (with transvaginal ultrasound) for early detection of ovarian cancer in women at high risk for this disease. CA125 is also recommended for differential diagnosis of suspicious pelvic masses in postmenopausal women, as well as for detection of recurrence, monitoring of therapy, and determination of prognosis in women with ovarian cancer.Implementation of these recommendations should encourage optimal use of tumor markers.

Clinical Practice

10.1373/clinchem.2008.105601

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Citations (1,091)

Bayesian deconvolution with prior knowledge of object location - Applications to ground-based planetary images

The Astronomical Journal (1992)

Rafael Molina B. D. Ripley Alejandro Molina F. Moreno J. L. Ortiz

view Abstract Citations (12) References (8) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS Baysian Deconvolution With Prior Knowledge of Object Location: Applications to Ground-Based Planetary Images Molina, R. ; Ripley, B. D. ; Molina, A. ; Moreno, F. ; Ortiz, J. L. Abstract In this paper we present a Bayesian method to deconvolve images when the location of the objects in the image is known in advance. This knowledge of location is incorporated into the prior model via a labeling process. An iterative method is proposed to find the maximum a posteriori estimator of the image. The method was tested on both synthetic images and ground-based CCD images of Saturn with very encouraging results. Publication: The Astronomical Journal Pub Date: October 1992 DOI: 10.1086/116351 Bibcode: 1992AJ....104.1662M Keywords: Bayes Theorem; Image Processing; Planetology; Astronomical Photography; Charge Coupled Devices; Iteration; Saturn (Planet); Astronomy; TECHNIQUES: IMAGE PROCESSING full text sources ADS |

10.1086/116351

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Citations (17)

Clinical Evaluation of the Simultaneous Determination of Tumor Markers in Fluid and Serum and Their Ratio in the Differential Diagnosis of Serous Effusions

Tumor Biology (2004)

Jaume Trap eacute Rafael Molina Francesc Sant

We evaluated the diagnostic utility of simultaneous determination of 5 tumor markers, CEA, CA 125, CA 15-3, CA 19-9 and cytokeratin 19 (CYFRA 21-1), in fluid and serum from 101 patients, 52 with pleural effusion (22 malignant) and 49 patients with ascites (14 malignant). Tumor marker concentrations in fluid from patients with malignant effusions were significantly higher than those obtained in benign fluids or serum. However, there are two types of tumor markers: those released/secreted by normal mesothelia such as CA 125 and cytokeratin 19 (higher levels in benign fluids than in serum) and non-released/secreted tumor markers (low concentrations in benign fluids) such as CEA, CA 19-9 and CA 15-3. The fluid/serum (F/S) ratio showed better sensitivity with maximum specificity than a single determination in fluid for CEA, CA 15-3 and CA 19-9, but not for CA 125 and CYFRA. The combination of a F/S ratio greater than 1.2 and a cut-off of 5 ng/ml for CEA, 30 U/ml for CA 15-3 and 37 U/ml for CA 19-9 showed sensitivities of 58, 57 and 44%, respectively, and a specificity of 100%, with a combined sensitivity of 82% for overall effusions and 79% for fluids with negative cytology with a specificity of 100%. In conclusion, the use of the F/S ratio in nonsecreted tumor markers such as CEA, CA 19-9 and CA 15-3 improve the sensitivity and specificity and allow standardization of the cut-off.

Carcinoembryonic antigen

CA 15-3

Ascitic fluid

10.1159/000081392

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Citations (59)

Value of PSA (prostate-specific antigen) in the detection of prostate cancer in patients with urological symptoms. Results of a multicentre study

European Journal of Cancer (1996)

Xavier Filella Rafael Molina Antonio M. Ballesta M.J. Cancho Gil C. Allepuz

Value (mathematics)

10.1016/0959-8049(96)00092-5

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Citations (16)

Variational Bayesian Blind Color Deconvolution of Histopathological Images

IEEE Transactions on Image Processing (2019)

Natalia Hidalgo-Gavira Javier Mateos Miguel Vega Rafael Molina Aggelos K. Katsaggelos

Most whole-slide histological images are stained with two or more chemical dyes. Slide stain separation or color deconvolution is a crucial step within the digital pathology workflow. In this paper, the blind color deconvolution problem is formulated within the Bayesian framework. Starting from a multi-stained histological image, our model takes into account both spatial relations among the concentration image pixels and similarity between a given reference color-vector matrix and the estimated one. Using Variational Bayes inference, three efficient new blind color deconvolution methods are proposed which provide automated procedures to estimate all the model parameters in the problem. A comparison with classical and current state-of-the-art color deconvolution algorithms using real images has been carried out demonstrating the superiority of the proposed approach.

Demosaicing

10.1109/tip.2019.2946442

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Citations (16)

SERUM CYTOKINES (IL-6, TNF-α, IL-1β AND IFN-γ) IN ANKYLOSING SPONDYLITIS: A CLOSE CORRELATION BETWEEN SERUM IL-6 AND DISEASE ACTIVITY AND SEVERITY

Lara D. Veeken (1994)

Jordi Gratacós A. Collado Xavier Filella Raimón Sanmartí Juan D. Cañete

The aim of our study was to analyse the serum interleukin-6 (IL-6), tumour necrosis factor-alpha (TNF-alpha), interleukin-1 beta (IL-1 beta) and interferon-gamma (IFN-gamma) levels in patients with AS and their relationship with disease activity. An ELISA test was used to analyse serum cytokine (IL-6, TNF-alpha, IL-1 beta and IFN-gamma) levels in 69 patients with AS. Results were compared with those from 43 patients with RA and 36 patients with non-inflammatory back pain. The relationship between serum concentrations of the different cytokines and parameters of disease activity and severity in AS patients was also evaluated. IL-6 and TNF-alpha serum levels, but not IL-1 beta and IFN-gamma, were significantly higher in AS than in NIBP. However, patients with RA showed higher serum levels of IL-6, TNF-alpha and IFN-gamma than both AS and NIBP patients. In AS, IL-6 correlated with clinical parameters of disease activity with significant correlation being observed with laboratory parameters of inflammation such as ESR, CRP, platelet count and clinical parameters of severity such as vertebral mobility. TNF-alpha did not correlate with laboratory or clinical parameters of activity. Macrophagic cytokines (TNF-alpha and IL-6), are increased in AS patients and IL-6 closely correlated with the activity of the disease.

Spondylitis

BETA (programming language)

Alpha (finance)

10.1093/rheumatology/33.10.927

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Citations (332)

Image super-resolution from compressed sensing observations

2022 IEEE International Conference on Image Processing (ICIP) (2015)

Wael Saafin Miguel Vega Rafael Molina Aggelos K. Katsaggelos

In this work we propose a novel framework to obtain High Resolution (HR) images from Compressed Sensing (CS) imaging systems capturing multiple Low Resolution (LR) images of the same scene. The proposed CS Super Resolution (SR) approach combines existing CS reconstruction algorithms with an LR to HR approach based on the use of a Super Gaussian (SG) regularization term. The reconstruction is formulated as a constrained optimization problem which is solved using the Alternate Direction Methods of Multipliers (ADMM). The image estimation subproblem is solved using Majorization-Minimization (MM) while the CS reconstruction becomes an l ₁ -minimization subject to a quadratic constraint. The performed experiments show that the proposed method compares favorably to classical SR methods at compression ratio 1, obtaining excellent SR reconstructions at ratios below one.

Regularization

Minification

10.1109/icip.2015.7351611

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Citations (7)

Motion estimation in high resolution image reconstruction from compressed video sequences

L. D. Alvarez Rafael Molina Aggelos K. Katsaggelos

In order to obtain a high resolution image from a compressed video sequence it is essential to correctly estimate the motion vectors in the sequence. Most of the approaches reported in the literature address this problem using standard motion estimation techniques. In this paper we tackle the correct estimation of the motion vectors by consistently estimating the optical flow across multiple images. Consistency is achieved by adding a regularization term to the classical Lucas-Kanade approach to motion estimation. The proposed algorithm is tested on real video sequences.

Optical Flow

Regularization

Quarter-pixel motion

Structure from Motion

Sequence (biology)

Motion field

Motion vector

10.1109/icip.2004.1421423

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Citations (3)

Bayesian parameter estimation in image reconstruction from subsampled blurred observations

Miguel Vega Javier Mateos Rafael Molina Aggelos K. Katsaggelos

In this paper we consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, blurred and degraded frames with subpixel displacement errors. We derive mathematical expressions for the iterative calculation of the maximum likelihood estimate (mle) of the unknown hyperparameters given the low resolution observed images. Finally, the proposed method is tested on a synthetic image.

Subpixel rendering

Hyperparameter

10.1109/icip.2003.1246845

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Citations (11)

Robust and Low-Rank Representation for Fast Face Identification With Occlusions

IEEE Transactions on Image Processing (2017)

Michael Iliadis Haohong Wang Rafael Molina Aggelos K. Katsaggelos

In this paper we propose an iterative method to address the face identification problem with block occlusions. Our approach utilizes a robust representation based on two characteristics in order to model contiguous errors (e.g., block occlusion) effectively. The first fits to the errors a distribution described by a tailored loss function. The second describes the error image as having a specific structure (resulting in low-rank in comparison to image size). We will show that this joint characterization is effective for describing errors with spatial continuity. Our approach is computationally efficient due to the utilization of the Alternating Direction Method of Multipliers (ADMM). A special case of our fast iterative algorithm leads to the robust representation method which is normally used to handle non-contiguous errors (e.g., pixel corruption). Extensive results on representative face databases (in constrained and unconstrained environments) document the effectiveness of our method over existing robust representation methods with respect to both identification rates and computational time. Code is available at Github, where you can find implementations of the F-LR-IRNNLS and F-IRNNLS (fast version of the RRC) : https://github.com/miliadis/FIRC

Representation

Robustness

Rank (graph theory)

Identification

10.1109/tip.2017.2675206

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Citations (45)