B. Dogdas

发表

Digimouse: a 3D whole body mouse atlas from CT and cryosection data

R. Leahy, A. Chatziioannou, B. Dogdas, 2007, Physics in medicine and biology.

3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease

Ilknur Icke, Sonal Singh, Belma Dogdas, 2019, Medical Imaging.

Segmentation of Skull in 3 D Human MR Images Using Mathematical Morphology

R. Leahy, D. Shattuck, B. Dogdas, 2002 .

Targeting of deep-brain structures in nonhuman primates using MR and CT Images

Belma Dogdas, Hatim A. Zariwala, Jason M. Uslaner, 2015, Medical Imaging.

Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning

Sarayu Parimal, Tian Zhou, Ilknur Icke, 2017, Medical Imaging.

Development and optimization of a high-throughput micro-computed tomography imaging method incorporating a novel analysis technique to evaluate bone mineral density of arthritic joints in a rodent model of collagen induced arthritis.

Raquel S. Sevilla, C. Chiu, B. Dogdas, 2015, Bone.

Micro-CT imaging: Developing criteria for examining fetal skeletons in regulatory developmental toxicology studies - A workshop report.

R. Henkelman, A. Hoberman, H. Alsaid, 2016, Regulatory toxicology and pharmacology : RTP.

Micro-computed tomography imaging and analysis in developmental biology and toxicology.

Belma Dogdas, Ansuman Bagchi, B. Dogdas, 2013, Birth defects research. Part C, Embryo today : reviews.

Segmentation of skull and scalp in 3‐D human MRI using mathematical morphology

Belma Dogdas, Richard M Leahy, David W Shattuck, 2005, Human brain mapping.

Automatic classification of squamosal abnormality in micro-CT images for the evaluation of rabbit fetal skull defects using active shape models

Belma Dogdas, Christopher T. Winkelmann, Ansuman Bagchi, 2014, Medical Imaging.

Independent real‐world application of a clinical‐grade automated prostate cancer detection system

Thomas J. Fuchs, Christopher Kanan, S. Chandarlapaty, 2021, The Journal of pathology.

A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

Bo Zhou, Belma Dogdas, Antong Chen, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Silencing Myostatin Using Cholesterol-conjugated siRNAs Induces Muscle Growth

B. Dogdas, J. Disa, L. Sepp-Lorenzino, 2016, Molecular therapy. Nucleic acids.

Analysis of lipid nanoparticles by Cryo-EM for characterizing siRNA delivery vehicles.

Randy Crawford, Belma Dogdas, Ansuman Bagchi, 2011, International journal of pharmaceutics.

Muscle histology image analysis for sarcopenia: Registration of successive sections with distinct atpase activity

Metin Nafi Gürcan, Olcay Sertel, Belma Dogdas, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Silencing Myostatin Using Cholesterol-conjugated siRNAs Induces Muscle Growth.

B. Dogdas, J. Disa, L. Sepp-Lorenzino, 2016 .

Analytical validation of quantitative immunohistochemical assays of tumor infiltrating lymphocyte biomarkers

B. Dogdas, Y. Cui, S. Mehta, 2018, Biotechnic & histochemistry : official publication of the Biological Stain Commission.

Segmentation of the skull in 3D human MR images using mathematical morphology

Richard M. Leahy, David W. Shattuck, Belma Dogdas, 2002, SPIE Medical Imaging.

Automated 3D mouse lung segmentation from CT images for extracting quantitative tumor progression biomarkers

Ran Ren, Sangeetha Somayajula, Raquel S. Sevilla, 2013, Medical Imaging.

Automated segmentation of knee and ankle regions of rats from CT images to quantify bone mineral density for monitoring treatments of rheumatoid arthritis

Jung Hoon Lee, Raquel S. Sevilla, Amy Vanko, 2014, Medical Imaging.

A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images

Dongqing Zhang, Sarayu Parimal, Ilknur Icke, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM

Dongqing Zhang, Sarayu Parimal, Ilknur Icke, 2018, Medical Imaging.

Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images

Sarayu Parimal, Ilknur Icke, Tian Zhou, 2017, STACOM@MICCAI.

Analytical validation of quantitative immunohistochemical assays of tumor infiltrating lymphocyte biomarkers

J. Yearley, B. Dogdas, Y. Cui, 2018, Biotechnic & histochemistry : official publication of the Biological Stain Commission.

modelsorganization analysis in sarcopenia animal Automated rodent in situ muscle contraction assay and

H. Wilkinson, J. Lineberger, Nan Wei, 2015 .