- Image Retrieval and Classification Techniques
- Biomedical Text Mining and Ontologies
- Skin and Cellular Biology Research
- Bioinformatics and Genomic Networks
- Gaze Tracking and Assistive Technology
- Clinical Reasoning and Diagnostic Skills
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- AI in cancer detection
- Video Analysis and Summarization
- Gene expression and cancer classification
- Genetic and rare skin diseases.
- Topic Modeling
- Cell death mechanisms and regulation
- Machine Learning in Bioinformatics
- Hair Growth and Disorders
- Empathy and Medical Education
- Skin Protection and Aging
- Usability and User Interface Design
- Cell Adhesion Molecules Research
- Visual and Cognitive Learning Processes
- melanin and skin pigmentation
- Translation Studies and Practices
- Semantic Web and Ontologies
Rochester Institute of Technology
2012-2021
University of Rochester
1991-2011
University of Rochester Medical Center
1989-1999
University of California, San Francisco
1994
University of South Carolina
1982-1986
Abstract During human skin development, embryonic‐ and fetal‐specific periderm cells incompletely keratinized are replaced by keratinocytes that differentiate while stratifying to form the fully functional epidermis. Proliferating basal of fetal also develop into epidermal appendages such as hair follicles glands. We demonstrate programmed cell death, not emphasized in conventional biology, has an important function establishing final architecture epidermis its appendages....
Fixation sequence analysis can reveal the cognitive strategies that drive eye movements. Unfortunately this type of is not as common other popular movement measures, such fixation duration and trace length, because proper tools for are incorporated into most software. This paper describes eyePatterns, a new tool discovering similarities in sequences identifying experimental variables may influence their characteristics.
The topological landscape of gene interaction networks provides a rich source information for inferring functional patterns genes or proteins. However, it is still challenging task to aggregate heterogeneous biological such as expression and interactions achieve more accurate inference prediction discovery new interactions. In particular, how generate unified vector representation integrate diverse input data key challenge addressed here. We propose scalable robust deep learning framework...
Normal human keratinocytes synthesize and release nerve growth factor (NGF) express both the low- high-affinity NGF receptor. Because has been shown to rescue certain cell types from programmed death, we investigated role of endogenous in preventing keratinocyte apoptosis. We report here that apoptosis is induced normal culture by blocking signaling with either anti-NGF neutralizing antibody or K252, a specific inhibitor tyrosine kinase Apoptosis was assessed DNA laddering, electron...
Abstract Background One of the most challenging tasks for bladder cancer diagnosis is to histologically differentiate two early stages, non-invasive Ta and superficially invasive T1, latter which associated with a significantly higher risk disease progression. Indeed, in considerable number cases, T1 tumors look very similar under microscope, making distinction difficult even experienced pathologists. Thus, there an urgent need favoring system based on machine learning (ML) distinguish...
Usability testing is regarded as a key element in user-centered design. Several studies from the Standish Group have shown that usability increases chance of developing usable software. Companies are faced with many challenges: their customers demand products at reasonable costs and customer base distributed diverse. Unfortunately, often perceived impractical due to remote location users, limited access representative or work context difficult reproduce laboratory setting. Additionally, for...
Biomedical interaction networks have incredible potential to be useful in the prediction of biologically meaningful interactions, identification network biomarkers disease, and discovery putative drug targets. Recently, graph neural been proposed effectively learn representations for biomedical entities achieved state-of-the-art results prediction. These methods only consider information from immediate neighbors but cannot a general mixing features at various distances. In this paper, we...
Understanding and characterizing perceptual expertise is a major bottleneck in developing intelligent systems. In knowledge-rich domains such as dermatology, influences the diagnostic inferences made based on visual input. This study uses eye movement data from 12 dermatology experts undergraduate novices while they inspected 34 dermatological images. work investigates differences global local temporal fixation patterns between two groups using recurrence quantification analysis (RQA). The...
Lack of access to health and medical education resources for doctors in the developing world is a serious global problem. In Rwanda, with population 11 million, there only one school, hence shortage well-trained staff. The growth interactive technologies has played role improvement care developed countries offered alternative ways offer continuous while improving patient's care. However, low middle-income (LMIC) like Rwanda have struggled implement adapted local settings practice continuing...
The dermal papilla (DP) consists of a discrete population specialized fibroblasts that are important in the morphogenesis hair follicle embryo and control growth cycle adult. This mitotically quiescent long-lived cell expresses gene products promote survival such as Bcl-2, thus normally might be protected from apoptosis. We investigated whether cultured DP able to undergo apoptosis by treatment with protein kinase inhibitor staurosporine. Involvement PKC signaling pathway fibroblast...
Human perceptual expertise has significant influence on medical image inspection. However, little is known regarding whether experts differ in their cognitive processing or what effective visual strategies they employ for examining images. To remedy this, we conduct an eye tracking experiment and collect both movement verbal description data from three groups of subjects with different training levels. Each subject examines describes 42 photographic dermatological We then develop a...
Deep learning models have achieved state-of-the-art performance in semantic image segmentation, but the results provided by fully automatic algorithms are not always guaranteed satisfactory to users. Interactive segmentation offers a solution accepting user annotations on selective areas of images refine results. However, most existing only focus correcting current image's misclassified pixels, with no knowledge carried over other images. In this work, we formulate interactive as continual...
Prevailing theories view aging as an outcome of both programmed and stochastic events that occur over the lifetime individual. In this context, can be defined a progressive decline in homeostasis period characterized by inability organism to respond adaptively stress. Apoptosis thus stands out potential key cellular process may affected during because apoptosis is important homeostatic mechanism protective response paper we introduce topic apoptosis, its regulation, roles epidermal feature...
Positional cloning with microsatellite markers allowed further localization of the Darier disease gene to a 2-cM interval chromosome 12, 12q23-24.1, between polymorphic loci D12S234 and D12S129. A region this size is suitable for construction contig identify gene. Use intronic marker nitric oxide synthetase 1 gene, which maps same chromosomal area as exclusion that
In the last ten years HCI, study and practice of usability, has emerged as a multidisciplinary, multifaceted field. HCI is an essential knowledge area that pervades computing field should be included in every professional's education. Computing professionals need to create software, other technologies, so users will want use them able effectively them. User advocacy distinguishes Information Technology discipline from disciplines. Graduates understand many facets HCI. These include not only...
Traditional content-based image retrieval techniques, which primarily rely on content at the pixel level, are not effective in accessing images semantic level. Defining approaches to incorporate experts' perceptual and conceptual capabilities of understanding their domain expertise into processes promises help bridge this gap. Towards accomplishing this, we design implement a novel multimodal interactive system for retrieval. To human expertise, stores expert-derived information extracted...
Abstract The topological landscape of gene interaction networks provides a rich source information for inferring functional patterns genes or proteins. However, it is still challenging task to aggregate heterogeneous biological such as expression and interactions achieve more accurate inference prediction discovery new interactions. In particular, how generate unified vector representation integrate diverse input data key challenge addressed here. We propose scalable robust deep learning...