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

Computational Methods for Delineating Multiple Nuclear Phenotypes from Different Imaging Modalities. - Mina Khoshdeli (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)

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)

Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images. - Kshitij Ingale; Sun Hae Hong; Qiyuan Hu; Renyu Zhang; Bo Osinski; Mina Khoshdeli; Josh Och; Kunal Nagpal; Martin C. Stumpe; Rohan P. Joshi (CoRR, 2024)