User profiles for S. Hassanpour

Saeed Hassanpour

- Verified email at dartmouth.edu - Cited by 3653

Shahin Hassanpour (Assistant Professor)

- Verified email at srbiau.ac.ir - Cited by 1086

Shohreh Hassanpour

- Verified email at pnu.ac.ir - Cited by 366

[HTML][HTML] Review of cancer from perspective of molecular

SH Hassanpour, M Dehghani - Journal of cancer research and practice, 2017 - Elsevier
Cancer in the broader sense refers to more than 277 different types of cancer disease.
Scientists have identified different stage of cancers, indicating that several gene mutations are …

[HTML][HTML] Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities

M Goyal, T Knackstedt, S Yan, S Hassanpour - Computers in biology and …, 2020 - Elsevier
Recently, there has been great interest in developing Artificial Intelligence (AI) enabled
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …

[HTML][HTML] Oral manifestation in inflammatory bowel disease: a review

…, GR Sivandzadeh, S Hassanpour - World journal of …, 2013 - ncbi.nlm.nih.gov
… Dudeney’s report of oral Crohn’s disease in 1969 described it as a raised, edematous, pink
… It is now known that the lips are the most frequent site of oral Crohn’s disease (OCD) lesions[…

Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer

…, MK Jolly, BC Christensen, S Hassanpour… - Science …, 2022 - science.org
The epithelial-to-mesenchymal transition (EMT) is frequently co-opted by cancer cells to
enhance migratory and invasive cell traits. It is a key contributor to heterogeneity, …

[HTML][HTML] Deep learning for classification of colorectal polyps on whole-slide images

…, L Torresani, AA Suriawinata, S Hassanpour - Journal of pathology …, 2017 - Elsevier
… To this end, through a collaboration with our state’s colonoscopy registry, we are planning
to apply and evaluate the proposed method on an additional dataset from patients across our …

[HTML][HTML] Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks

…, YA Linnik, LJ Vaickus, N Tomita, S Hassanpour - Scientific reports, 2019 - nature.com
… A study of our model’s detection of micropapillary subtype compared to those of … by our
pathologist annotators confirms that our model’s classifications are generally on target. Our model …

Identification of neutrophil surface marker changes in health and inflammation using high-throughput screening flow cytometry

FS Lakschevitz, S Hassanpour, A Rubin, N Fine… - Experimental cell …, 2016 - Elsevier
Neutrophils are the most abundant white blood cell and are an essential component of the
innate immune system. A complete cataloguing of cell surface markers has not been …

[PDF][PDF] Plants and secondary metabolites (Tannins): A Review

S Hassanpour, N MaheriSis, B Eshratkhah - 2011 - academia.edu
The objective of this review was to investigate and identification of structure and role of the
tannins in plants. During growth and maturation period in plants, some substances can be …

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans

N Tomita, YY Cheung, S Hassanpour - Computers in biology and medicine, 2018 - Elsevier
… Of note, analysis of each CT scan in the best of the aforementioned models took 5 min on
a high-performance computer [12], while our method reduces this time to less than 0.02 s on …

Distinct oral neutrophil subsets define health and periodontal disease states

N Fine, S Hassanpour, A Borenstein… - Journal of dental …, 2016 - journals.sagepub.com
Neutrophils exit the vasculature and swarm to sites of inflammation and infection. However,
these cells are abundant in the healthy, inflammation-free human oral environment, …