Segmentation of natural scenes. - Bir Bhanu; Bahram Parvin (Pattern Recognit., 1987)

Adaptive multiscale feature extraction from range data. - Bahram Parvin; Gérard G. Medioni (Comput. Vis. Graph. Image Process., 1989)

A dynamic system for object description and correspondence. - Bahram Parvin; Gérard G. Medioni (CVPR, 1991)

A layered network for the correspondence of 3D objects. - Bahram Parvin; Gérard G. Medioni (ICRA, 1991)

B-rep from unregistered multiple range images. - Bahram Parvin; Gérard G. Medioni (ICRA, 1992)

Pinta: a system for visualizing the anatomical structures of the brain from MR imaging. - Bahram Parvin; William E. Johnston; D. Roselli (CVPR, 1993)

Tracking of tubular objects for scientific applications. - Bahram Parvin; Carrie Johnston; Marcos Maestre (CVPR, 1994)

Tracking of Tubular Molecules for Scientific Applications. - Bahram Parvin; C. Peng; William E. Johnston; Marcos Maestre (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Telepresence for In-situ Microscopy. - Bahram Parvin; John R. Taylor; Brian Crowley; L. Wu; William E. Johnston; D. Owen; M. A. O'Keefe; Ulrich Dahman (ICMCS, 1996)

Visual servoing for micro-manipulation. - Bahram Parvin; Daniel E. Callahan; William E. Johnston; Marcos Maestre (ICPR, 1996)

B-rep object description from multiple range views. - Bahram Parvin; Gérard G. Medioni (Int. J. Comput. Vis., 1996)

Visual Servoing for Online Facilities. - Bahram Parvin; John R. Taylor; Daniel E. Callahan; William E. Johnston; Ulrich Dahmen (Computer, 1997)

Shape from Equal Thickness Contours. - Ge Cong; Bahram Parvin (CVPR, 1998)

Shape from interference patterns. - Ge Cong; Bahram Parvin (ICPR, 1998)

Curve evolution for corner enhancement. - Ge Cong; Bahram Parvin (ICPR, 1998)

A Collaborative Framework for Distributed Microscopy. - Bahram Parvin; John R. Taylor; Ge Cong (SC, 1998)

Surface reconstruction from sparse fringe contours. - Ge Cong; Bahram Parvin (WACV, 1998)

DeepView: A Channel for Distributed Microscopy. - Bahram Parvin; John R. Taylor; Ge Cong (DOA, 1999)

DeepView: A Channel for Distributed Microscopy and Informatics. - Bahram Parvin; John R. Taylor; Ge Cong; M. A. O'Keefe; Mary Helen Barcellos-Hoff (SC, 1999)

An Algebraic Solution to Surface Recovery from Cross-Sectional Contours. - Ge Cong; Bahram Parvin (Graph. Model. Image Process., 1999)

BioSig: A Bioinformatic System for Studying the Mechanism of Intra-Cell Signaling. - Bahram Parvin; Ge Cong; Gerald Fontenay; John R. Taylor; R. Henshal; Mary Helen Barcellos-Hoff (BIBE, 2000)

A New Regularized Approach for Contour Morphing. - Ge Cong; Bahram Parvin (CVPR, 2000)

Feature Based Visualization of Geophysical Data. - Qing Yang 002; Bahram Parvin (CVPR, 2000)

Surface Recovery from Planar Sectional Contours. - Ge Cong; Bahram Parvin (ICPR, 2000)

Singular Features in Sea Surface Temperature Data. - Qing Yang 002; Bahram Parvin; Arthur Mariano (ICPR, 2000)

Shape Recovery from Equal Thickness Contours. - Ge Cong; Bahram Parvin (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Model-based segmentation of nuclei. - Ge Cong; Bahram Parvin (Pattern Recognit., 2000)

Declarative Flow Control for Distributed Instrumentation. - Bahram Parvin; Gerald Fontenay; John R. Taylor; Daniel E. Callahan (CCGRID, 2001)

Robust and efficient surface reconstruction from contours. - Ge Cong; Bahram Parvin (Vis. Comput., 2001)

CHEF: Convex Hull of Elliptic Features for 3D Blob Detection. - Qing Yang 002; Bahram Parvin (ICPR (2), 2002)

BioSig: An Imaging Bioinformatic System for Studying Phenomic. - Bahram Parvin; Qing Yang 002; Gerald Fontenay; Mary Helen Barcellos-Hoff (Computer, 2002)

Harmonic cut and regularized centroid transform for localization of subcellular structures. - Qing Yang 002; Bahram Parvin (IEEE Trans. Biomed. Eng., 2003)

High-resolution reconstruction of sparse data from dense low-resolution spatio-temporal data. - Qing Yang 002; Bahram Parvin (IEEE Trans. Image Process., 2003)

BioSig: an imaging bioinformatics system for phenotypic analysis. - Bahram Parvin; Qing Yang 002; Gerald Fontenay; Mary Helen Barcellos-Hoff (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Perceptual Organization of Radial Symmetries. - Qing Yang 002; Bahram Parvin (CVPR (1), 2004)

Shape Metamorphism using p-Laplacian Equation. - Ge Cong; Mehmet Esser; Bahram Parvin; George Bebis (ICPR (4), 2004)

Localization of Saliency through Iterative Voting. - Qing Yang 002; Bahram Parvin; Mary Helen Barcellos-Hoff (ICPR (1), 2004)

Geometric Approach to Segmentation and Protein Localization in Cell Cultured Assays. - S. Raman 002; Bahram Parvin; Christopher Maxwell; Mary Helen Barcellos-Hoff (ISVC, 2005)

Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane. - Hang Chang; Bahram Parvin (ISVC (2), 2006)

3D Segmentation of Mammospheres for Localization Studies. - Ju Han; Hang Chang; Qing Yang 002; Mary Helen Barcellos-Hoff; Bahram Parvin (ISVC (1), 2006)

Spectral Decomposition of Signaling Networks. - Bahram Parvin; Nirmalya Ghosh; Laura Heiser; Merrill Knapp; Carolyn L. Talcott; Keith Laderoute; Joe W. Gray; Paul T. Spellman (CIBCB, 2007)

Modeling of Front Evolution with Graph Cut Optimization. - Hang Chang; Qing Yang 002; Manfred Auer; Bahram Parvin (ICIP (1), 2007)

Perceptual Grouping of Membrane Signals in Cell-Based Assays. - Hang Chang; Kumari L. Andarawewa; Ju Han; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2007)

Quantitative Representation of Three-dimensional Cell Culture Models. - Hang Chang; Catherine Park; Bahram Parvin (ISBI, 2007)

Segmentation of Mammosphere Structures from Volumetric Data. - Ju Han; Hang Chang; Qing Yang 002; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2007)

Segmentation of heterogeneous blob objects through voting and level set formulation. - Hang Chang; Qing Yang 002; Bahram Parvin (Pattern Recognit. Lett., 2007)

Iterative Voting for Inference of Structural Saliency and Characterization of Subcellular Events. - Bahram Parvin; Qing Yang 002; Ju Han; Hang Chang; Bjorn Rydberg; Mary Helen Barcellos-Hoff (IEEE Trans. Image Process., 2007)

A Bayesian approach for image segmentation with shape priors. - Hang Chang; Qing Yang 002; Bahram Parvin (CVPR, 2008)

Integrated profiling of cell surface protein and nuclear marker for discriminant analysis. - Ju Han; Hang Chang; Kumari L. Andarawewa; Paul Yaswen; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2008)

Tunable tensor voting improves grouping of membrane-bound macromolecules. - Leandro A. Loss; George Bebis; Bahram Parvin (CVPR Workshops, 2009)

Prototype vector machine for large scale semi-supervised learning. - Kai Zhang 001; James T. Kwok; Bahram Parvin (ICML, 2009)

Structural Annotation of EM Images by Graph Cut. - Hang Chang; Manfred Auer; Bahram Parvin (ISBI, 2009)

Morphometric Subtyping for a Panel of Breast Cancer Cell Lines. - Ju Han; Hang Chang; Gerald Fontenay; Nicholas J. Wang; Joe W. Gray; Bahram Parvin (ISBI, 2009)

Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals. - Leandro A. Loss; George Bebis; Bahram Parvin (ISBI, 2009)

A Delaunay Triangulation Approach for Segmenting Clumps of Nuclei. - Quan Wen; Hang Chang; Bahram Parvin (ISBI, 2009)

Graphical methods for quantifying macromolecules through bright field imaging. - Hang Chang; Rosa Anna DeFilippis; Thea D. Tlsty; Bahram Parvin (Bioinform., 2009)

Multiphase level set for automated delineation of membrane-bound macromolecules. - Hang Chang; Bahram Parvin (ISBI, 2010)

Chemical profiling of the plant cell wall through Raman microspectroscopy. - Ju Han; Seema Singh; Lan Sun; Blake A. Simmons; Manfred Auer; Bahram Parvin (ISBI, 2010)

Sparse multitask regression for identifying common mechanism of response to therapeutic targets. - Kai Zhang 001; Joe W. Gray; Bahram Parvin (Bioinform., 2010)

Prediction of epigenetically regulated genes in breast cancer cell lines. - Leandro A. Loss; Anguraj Sadanandam; Steffen Durinck; Shivani Nautiya; Diane Flaucher; Victoria E. H. Carlton; Martin Moorhead; Yontao Lu; Joe W. Gray; Malek Faham; Paul T. Spellman; Bahram Parvin (BMC Bioinform., 2010)

Molecular Predictors of 3D Morphogenesis by Breast Cancer Cell Lines in 3D Culture. - Ju Han; Hang Chang; Orsi Giricz; Genee Y. Lee; Frederick L. Baehner; Joe W. Gray; Mina J. Bissell; Paraic A. Kenny; Bahram Parvin (PLoS Comput. Biol., 2010)

Linking Changes in Epithelial Morphogenesis to Cancer Mutations Using Computational Modeling. - Katarzyna A. Rejniak; Shizhen E. Wang; Nicole S. Bryce; Hang Chang; Bahram Parvin; Jerome Jourquin; Lourdes Estrada; Joe W. Gray; Carlos L. Arteaga; Alissa M. Weaver; Vito Quaranta; Alexander R. A. Anderson (PLoS Comput. Biol., 2010)

Multidimensional Profiling of Cell Surface Proteins and Nuclear Markers. - Ju Han; Hang Chang; Kumari L. Andarawewa; Paul Yaswen; Mary Helen Barcellos-Hoff; Bahram Parvin (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme. - Ju Han; Hang Chang; Leandro A. Loss; Kai Zhang 001; Frederick L. Baehner; Joe W. Gray; Paul T. Spellman; Bahram Parvin (ISBI, 2011)

Morphometic analysis of TCGA glioblastoma multiforme. - Hang Chang; Gerald Fontenay; Ju Han; Ge Cong; Frederick L. Baehner; Joe W. Gray; Paul T. Spellman; Bahram Parvin (BMC Bioinform., 2011)

Iterative Tensor Voting for Perceptual Grouping of Ill-Defined Curvilinear Structures. - Leandro A. Loss; George Bebis; Bahram Parvin (IEEE Trans. Medical Imaging, 2011)

Automatic segmentation and quantification of filamentous structures in electron tomography. - Leandro A. Loss; George Bebis; Hang Chang; Manfred Auer; Purbasha Sarkar; Bahram Parvin (BCB, 2012)

Batch-invariant nuclear segmentation in whole mount histology sections. - Hang Chang; Leandro A. Loss; Paul T. Spellman; Alexander Borowsky; Bahram Parvin (ISBI, 2012)

Molecular bases of morphometric composition in Glioblastoma multiforme. - Ju Han; Hang Chang; Gerald Fontenay; Paul T. Spellman; Alexander Borowsky; Bahram Parvin (ISBI, 2012)

Learning invariant features of tumor signatures. - Quoc V. Le; Ju Han; Joe W. Gray; Paul T. Spellman; Alexander Borowsky; Bahram Parvin (ISBI, 2012)

Detection of 3D filamentous networks from tomographic electron microscopy. - Leandro A. Loss; Hang Chang; Purbasha Sarkar; Manfred Auer; Bahram Parvin (ISBI, 2012)

Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme. - Hang Chang; Ju Han; Paul T. Spellman; Bahram Parvin (IEEE Trans. Biomed. Eng., 2012)

Classification of Tumor Histology via Morphometric Context. - Hang Chang; Alexander Borowsky; Paul T. Spellman; Bahram Parvin (CVPR, 2013)

Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology. - Hang Chang; Yin Zhou; Paul T. Spellman; Bahram Parvin (ICCV, 2013)

Classification of tumor histopathology via sparse feature learning. - Nandita Nayak; Hang Chang; Alexander Borowsky; Paul T. Spellman; Bahram Parvin (ISBI, 2013)

Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching. - Hang Chang; Nandita Nayak; Paul T. Spellman; Bahram Parvin (MICCAI (2), 2013)

Integrated profiling of three dimensional cell culture models and 3D microscopy. - Cemal Çagatay Bilgin; Sun Kim; Elle Leung; Hang Chang; Bahram Parvin (Bioinform., 2013)

Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association. - Hang Chang; Ju Han; Alexander Borowsky; Leandro A. Loss; Joe W. Gray; Paul T. Spellman; Bahram Parvin (IEEE Trans. Medical Imaging, 2013)

Classification of Histology Sections via Multispectral Convolutional Sparse Coding. - Yin Zhou; Hang Chang; Kenneth E. Barner; Paul T. Spellman; Bahram Parvin (CVPR, 2014)

Predictive sparse morphometric context for classification of histology sections. - Hang Chang; Paul T. Spellman; Bahram Parvin (ISBI, 2015)

Nuclei segmentation via sparsity constrained convolutional regression. - Yin Zhou; Hang Chang; Kenneth E. Barner; Bahram Parvin (ISBI, 2015)

Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets. - Hang Chang; Bahram Parvin (WACV, 2015)

Stacked Predictive Sparse Decomposition for Classification of Histology Sections. - Hang Chang; Yin Zhou; Alexander Borowsky; Kenneth E. Barner; Paul T. Spellman; Bahram Parvin (Int. J. Comput. Vis., 2015)

Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set. - Hang Chang; Quan Wen; Bahram Parvin (Pattern Recognit., 2015)

Automated Histology Analysis: Opportunities for signal processing. - Michael T. McCann; John A. Ozolek; Carlos A. Castro; Bahram Parvin; Jelena Kovacevic (IEEE Signal Process. Mag., 2015)

EditorialMachine Learning and Data Mining in Medical Imaging. - Dinggang Shen; Daoqiang Zhang; Alastair Young; Bahram Parvin (IEEE J. Biomed. Health Informatics, 2015)

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. - Kai Zhang 001; Liang Lan; James T. Kwok; Slobodan Vucetic; Bahram Parvin (IEEE Trans. Neural Networks Learn. Syst., 2015)

Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. - Ju Han; Yunfu Wang; Weidong Cai 001; Alexander Borowsky; Bahram Parvin; Hang Chang (MICCAI (1), 2016)

Detection of nuclei in H&E stained sections using convolutional neural networks. - Mina Khoshdeli; Richard Cong; Bahram Parvin (BHI, 2017)

When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections. - Cheng Zhong; Ju Han; Alexander Borowsky; Bahram Parvin; Yunfu Wang; Hang Chang (Medical Image Anal., 2017)

Multilayer Encoder-Decoder Network for 3D Nuclear Segmentation in Spheroid Models of Human Mammary Epithelial Cell Lines. - Mina Khoshdeli; Garrett Winkelmaier; Bahram Parvin (CVPR Workshops, 2018)

Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections. - Mina Khoshdeli; Alexander Borowsky; Bahram Parvin (EMBC, 2018)

Quantum cascade laser infrared microscopy differentiates malignant phenotypes in breast histology sections. - Garrett Winkelmaier; Mina Khoshdeli; Qingsu Cheng; Alexander Borowsky; Bahram Parvin (ISBI, 2018)

Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections. - Mina Khoshdeli; Bahram Parvin (CoRR, 2018)

Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network. - Mina Khoshdeli; Bahram Parvin (IEEE Trans. Biomed. Eng., 2018)

Deep fusion of contextual and object-based representations for delineation of multiple nuclear phenotypes. - Mina Khoshdeli; Garrett Winkelmaier; Bahram Parvin (Bioinform., 2019)

YY1 is a cis-regulator in the organoid models of high mammographic density. - Qingsu Cheng; Mina Khoshdeli; Bradley S. Ferguson; Kosar Jabbari; Chongzhi Zang; Bahram Parvin (Bioinform., 2020)

Organoid model of mammographic density displays a higher frequency of aberrant colony formations with radiation exposure. - Qingsu Cheng; Bahram Parvin (Bioinform., 2020)

A Practical Methodology for Generating High-Resolution 3D Models of Open-Pit Slopes Using UAVs: Flight Path Planning and Optimization. - Rushikesh Battulwar; Garrett Winkelmaier; Jorge Valencia; Masoud Zare Naghadehi; Bijan Peik; Behrooz Abbasi; Bahram Parvin; Javad Sattarvand (Remote. Sens., 2020)

An enhanced loss function simplifies the deep learning model for characterizing the 3D organoid models. - Garrett Winkelmaier; Bahram Parvin (Bioinform., 2021)

Topographically Guided UAV for Identifying Tension Cracks Using Image-Based Analytics in Open-Pit Mines. - Garrett Winkelmaier; Rushikesh Battulwar; Mina Khoshdeli; Jorge Valencia; Javad Sattarvand; Bahram Parvin (IEEE Trans. Ind. Electron., 2021)

Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization. - Siyavash Shabani; Muhammad Sohaib; Sahar A. Mohammed; Bahram Parvin (CoRR, 2024)

A Novel 3D Decoder with Weighted and Learnable Triple Attention for 3D Microscopy Image Segmentation. - Siyavash Shabani; Sahar A. Mohammed; Bahram Parvin (CVPR Workshops, 2025)

Logsage: Log-Based Saliency for Guided Encoding in Robust Nuclei Segmentation of Immunofluorescence Histology Images. - Sahar A. Mohammed; Siyavash Shabani; Muhammad Sohaib; Corina Nicolescu; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2025)

Coupled Swin Transformers and Multi-Apertures Network(CSTA-NET) Improves Medical Image Segmentation. - Siyavash Shabani; Muhammad Sohaib; Sahar A. Mohammed; Bahram Parvin (ISBI, 2025)

Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images. - Muhammad Sohaib; Siyavash Shabani; Sahar A. Mohammed; Garrett Winkelmaier; Bahram Parvin (WACV, 2025)

3D-Organoid-SwinNet: High-Content Profiling of 3D Organoids. - Muhammad Sohaib; Siyavash Shabani; Sahar A. Mohammed; Bahram Parvin (IEEE J. Biomed. Health Informatics, 2025)