Eduardo Romero

• PhD MSc MD
• Professor (Full) at National University of Colombia

Endoscopy is vital for detecting and diagnosing gastrointestinal diseases. Systematic examination protocols are key to enhancing detection, particularly for the early identification of premalignant conditions. Publicly available endoscopy image databases are crucial for machine learning research, yet challenges persist, particularly in identifying...

Radiomics (computerized feature analysis) on treatment-naive MRI scans has demonstrated great value in outcome prediction for Glioblastoma (GBM). However, delta radiomics (analysis of radiomic feature variation between different events, e.g., before and after treatment) has not been explored on account of challenges with precise spatial corresponde...

Introduction Magnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of multiple sclerosis (MS) as it is used to assess lesions in the brain and spinal cord. However, in real-world clinical settings, MRI scans are often acquired with thick slices, limiting their utility for automated quantitative analyses. This work presents a sin...

Magnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of multiple sclerosis (MS) as it is used to assess lesions in the brain and spinal cord. However, in real-world clinical settings, MRI scans are often acquired with thick slices, limiting their utility for automated quantitative analyses. This work presents a single-image sup...

Cytomorphology evaluation of bone marrow cell is the initial step to diagnose different hematological diseases. This assessment is still manually performed by trained specialists, who may be a bottleneck within the clinical process. Deep learning algorithms are a promising approach to automate this bone marrow cell evaluation. These artificial inte...

Gastric cancer ranks as the fifth leading cause of cancer mortality worldwide. The quality of upper gastrointestinal endoscopy is crucial towards early identification of premalignant conditions and relies on the endoscopist's skill and thorough examination of stomach landmarks. Unfortunately, it has been observed that existing cancer-ous lesions ma...

Autism Spectrum Disorders (ASD) assessment relies on clinical rating scales to measure related social and behavioral changes, a subjective process which is prone to misdiagnosis. ASD heterogeneity of social and cognitive functioning has been associated with underlying neuro-anatomical alterations. Automatic medical imaging analyses have made possib...

Gastric cancer is the fourth deadliest cancer worldwide. Esophagogastroduodenoscopy (EGD) is the preferred method to diagnose upper gastrointestinal lesions, particularly early gastric cancer. The procedure’s success relies on the endoscopist’s experience and a comprehensive examination by observing a set of anatomical landmarks. Most gastric neopl...

PURPOSE Glioblastoma (GBM) is a heterogeneous brain tumor. Standard treatment constitutes surgery, chemo-radiation, and chemotherapy. After surgery, the resected tissue is analyzed under a microscope by neuropathologists to identify distinct histological hallmarks. However, visual analysis of GBM pathological features on Hematoxylin and Eosin (H&E)...

Atypical bone marrow (BM) cell-subtype characterization defines the diagnosis and follow up of different hematologic disorders. However, this process is basically a visual task, which is prone to inter- and intra-observer variability. The presented work introduces a new application of one-class variational autoencoders (OCVAE) for automatically cla...

Acute leukemia is usually diagnosed when a test of peripheral blood shows at least 20% of abnormal immature cells (blasts), a figure even lower in case of recurrent cytogenetic abnormalities. Blast identification is crucial for White Blood Cell (WBC) Counting, which depends on both identifying the cell type and characterizing the cellular morpholog...

The tumor immune composition influences prognosis and treatment sensitivity in lung cancer. The presence of effective adaptive immune responses is associated with increased clinical benefit after immune checkpoint blockers. Conversely, immunotherapy resistance can occur as a consequence of local T-cell exhaustion/dysfunction and upregulation of imm...

In this work, we compare the results of analyzing group differences in Alzheimer’s Disease (AD) with two different models for multi-shell diffusion MRI: the Diffusion Kurtosis Tensor (DKT) and Multi-Tissue Constrained Spherical Deconvolution (MT-CSD). Separate analysis for DKT metrics and measures derived from MT-CSD were performed to investigate d...

Gastric cancer is the fourth most lethal malignancy worldwide Esophagogastroduodenoscopy is the first choice procedure for diagnosis of upper gastrointestinal lesions, especially early gastric cancer. The success of this procedure depends on endoscopist’s skill and the rigorous exploration of the zones with high probability of being affected. It ha...

Disease interpretation by computer-aided diagnosis systems in digital pathology depends on reliable detection and segmentation of nuclei in hematoxylin and eosin (HE) images. These 2 tasks are challenging since appearance of both cell nuclei and background structures are very variable. This paper presents a method to improve nuclei detection and se...

Background Most studies using diffusion-weighted MRI (DW-MRI) in Alzheimer’s disease (AD) have focused their analyses on white matter (WM) microstructural changes using the diffusion (kurtosis) tensor model. Although recent works have addressed some limitations of the tensor model, such as the representation of crossing fibers and partial volume ef...

Pancreatic cancer (PC) has a reported mortality of 98% and a 5-y survival rate of 6.7%. Experienced gastroenterologists detect 80% of those with early-stage PC by endoscopic ultrasonography (EUS). Here we propose an automatic second reader strategy to detect PC in an entire EUS procedure, rather than focusing on pre-selected frames, as the state-of...

Pancreatic Cancer (PC) is one of the most aggressive cancers, with a mortality rate of 98%. Although the diagnosis of PC is difficult in early stages, several imaging techniques support the screening process, i.e, ultra- sonography (US), computed tomography (CT), and endoscopic ultrasound (EUS). EUS procedure reports the highest sensitivity (up to...

Background and objective: Abnormalities of the heart motion reveal the presence of a disease. However, a quantitative interpretation of the motion is still a challenge due to the complex dynamics of the heart. This work proposes a quantitative characterization of regional cardiac motion patterns in cine magnetic resonance imaging (MRI) by a novel...

PURPOSE Glioblastoma is a highly heterogeneous brain tumor. Primary treatment for glioblastoma involves maximally-safe surgical resection. After surgery, resected tissue slides are visually analyzed by neuro-pathologists to identify distinct histological hallmarks characterizing glioblastoma including high cellularity, necrosis, and vascular prolif...

Introduction: Neuropsychological test scores are limited and standard outcomes may mask the heterogeneity of cognitive impairment. This article presents the calculation and evaluation of six composite scores that quantify domain-specific impairment. Methods: Parameters for composite scores calculation were learned by performing confirmatory fact...

Este trabajo presenta un análisis comparativo de cinco arquitecturas de redes neuronales convolucionales (CNN) usando imágenes de resonancia magnética multiparamétrica (mpMRI) para la clasificación de tejidos con presencia de lesiones de cáncer próstata. Como conjunto de datos de entrenamiento y validación se usó SPIE-AAPM-NCI Prostate MR Classific...

Objetivo: crear un método computacional para la detección automática de pólipos colorrectales usando inteligencia artificial en videos grabados de procedimientos reales de colonoscopia. Metodología: se usaron bases de datos públicas con pólipos colorrectales y una colección de datos construida en un Hospital Universitario. Inicialmente, se normali...

Simple Summary This work presents initial results for differentiating two major non-small cell lung cancer (NSCLC) subtypes by exploring cross-scale associations between Computed Tomography (CT) images and corresponding digitized pathology images. The analysis comprised three phases, (i) a multi-resolution cell density quantification to identify di...

(1) Background: The relatively poor expert restaging accuracy of MRI in rectal cancer after neoadjuvant chemoradiation may be due to the difficulties in visual assessment of residual tumor on post-treatment MRI. In order to capture underlying tissue alterations and morphologic changes in rectal structures occurring due to the treatment, we hypothes...

Breast cancer is a leading cause of women mortality worldwide. Ductal carcinoma in situ (DCIS) is the most common noninvasive breast cancer type. Although DCIS is not lifethreatening, this is an early cancer stage with a high risk of developing actual invasive breast cancer. Unfortunately, DCIS comprises a heterogeneous group of lesions with highly...

Education in dermatopathology relies meaningfully on consultation of books, which are expensive, get quickly outdated, and have limited possibilities. In recent years, virtual microscopy, a method that enables the examination of digitized microscopy samples by means of a computer, has earn interest because of its remarkable benefits for education....

A computer-aided detection (CAD) second reader of colorectal polyps can decrease the rate of missed polyps in actual colonoscopy procedures. Currently, regular screening of colorectal cancer (CRC) demands a colonoscopy procedure during which polyps are located and removed. Unfortunately, different investigations have reported 22\%-28\% of polyps an...

Observation of Gait patterns is the available evaluation in clinical routine of the motor manifestations in Parkinson's Disease (PD). Lately, different investigations have attempted to quantitatively analyze gait patterns by linear methods facing several limitations since the non-stationary nature of the gait patterns. This study presents a non-lin...

Colorectal cancer (CRC) is a major public health issue by its high incidence and mortality rate. CRC appears as premalignant lesions growing in the endoluminal wall, called polyps. Currently, a regular screening of CRC during a colonoscopy is the standard procedure to localize and treat polyps. However, evidence suggests 20 % - 24 % of adenomatous...

Purpose To design a multiscale descriptor capable of capturing complex local‐regional unfolding patterns to support quantitation and diagnosis of autism spectrum disorders (ASD) using T1‐weighted structural magnetic resonance images (MRI) with voxel size of 1 × 1 × 1 mm. Methods The proposed image descriptor uses an adapted multiscale representati...

Purpose This paper presents a novel 3D multimodal registration strategy to fuse 3D real-time echocardiography images with cardiac cine MRI images. This alignment is performed in a saliency space, which is designed to maximize similarity between the two imaging modalities. This fusion improves the quality of the available information. Methods The m...

Radiomic features which quantify morphologic texture and shape of tumor regions on imaging have found wide success in characterizing treatment response in vivo. A more detailed interrogation of intra- and peri-tumoral regions for response-related cues could be achieved by capturing subtle structural deformations that occur due to tumor shrinkage or...

Early screening in Colorectal Cancer consists in finding and removing small precancerous masses or neoplastic lesions developed from the mucosa, usually lesions smaller than 10 mm. Localization of small neoplastic lesions is a very challenging task since colon exploration is highly dependent on the expert training and colon preparation. Several str...

Prostate cancer (PCa) diagnosis is established by pathological examination via biopsies, which are associated with significant complications and false negatives. Using MRIs to identify locations with high probability of containing cancer could instead be used to guide the biopsy procedure. The present investigation aims to identify target regions w...

At this moment, databanks worldwide contain brain images of previously unimaginable numbers. Combined with developments in data science, these massive data provide the potential to better understand the genetic underpinnings of brain diseases. However, different datasets, which are stored at different institutions, cannot always be shared directly...

Analysis of tubular glands plays an important role for gastric cancer diagnosis, grading, and prognosis; however, gland quantification is a highly subjective task, prone to error. Objective identification of glans might help clinicians for analysis and treatment planning. The visual characteristics of such glands suggest that information from nucle...

Early diagnosis in cancer is very important for an appropriate treatment and effective recovery in some cases. The biggest problem in developing countries, such as Latin America, is the delay of diagnosis because poor availability of health services in remote regions and lack of pathologists who are concentrated in main cities. In this context, thi...

Autism Spectrum Disorder (ASD) is a complex neurological condition characterized by a triad of signs: stereotyped behaviors, verbal and non-verbal communication problems and troubles in social interaction. The scientific community has been interested on quantifying anatomical brain alterations of this disorder to correlate the clinical signs with b...

Global statistics estimate 80% of people with disabilities live in developing countries, i.e., nearly 85 million people in Latin America and the Caribbean, being the most prevalent the motor disability, for instance 13 million cases in Brazil. Cerebral Palsy (CP) is considered as a public health problem and the most common cause of motor illness in...

The non-small cell lung cancer (NSCLC) is the most frequent with about 80\% of new cases and it is subdivided into adenocarcinoma, squamous cell and large cell carcinomas. Several studies have demonstrated the relevance of identifying NSCLC cancer subtype for prognosis and treatment. This work presents a classification approach for NSCLC subtypes i...

New evidence suggests 25% - 26% of colon polyps may be missed during a routine colonoscopy. These polyps or hyperplastic lesions are currently considered as pre-neoplastic lesions that must be detected. In this context, automatic strategies are appealing as second readers or diagnostic supporting tools. However, this task is challenging because of...