Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes von Khoshdeli, Mina, Winkelmaier, Garrett, Parvin, Bahram

Volltext

Deep fusion of contextual and object-based representations for delineation of multiple nuclear phenotypes von Khoshdeli, Mina, Winkelmaier, Garrett, Parvin, Bahram

Volltext

Topographically Guided UAV for Identifying Tension Cracks Using Image-Based Analytics in Open-Pit Mines von Winkelmaier, Garrett, Battulwar, Rushikesh, Khoshdeli, Mina, Valencia, Jorge, Sattarvand, Javad, Parvin, Bahram

Volltext

Overexpression of CD36 in mammary fibroblasts suppresses colony growth in breast cancer cell lines von Cheng, Qingsu, Jabbari, Kosar, Winkelmaier, Garrett, Andersen, Cody, Yaswen, Paul, Khoshdeli, Mina, Parvin, Bahram

Volltext

Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images von Ingale, Kshitij, Hong, Sun Hae, Hu, Qiyuan, Zhang, Renyu, Osinski, Bolesław L, Khoshdeli, Mina, Och, Josh, Nagpal, Kunal, Stumpe, Martin C, Joshi, Rohan P

Volltext

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

Volltext

IL-31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases and is farnesoid X receptor responsive in NASH von Xu, Jun, Wang, Ya, Khoshdeli, Mina, Peach, Matt, Chuang, Jen-Chieh, Lin, Julie, Tsai, Wen-Wei, Mahadevan, Sangeetha, Minto, Wesley, Diehl, Lauri, Gupta, Ruchi, Trauner, Michael, Patel, Keyur, Noureddin, Mazen, Kowdley, Kris V, Gulamhusein, Aliya, Bowlus, Christopher L, Huss, Ryan S, Myers, Robert P, Chung, Chuhan, Billin, Andrew N

Volltext

Associations between novel serum biomarkers chitinase-2-like protein (YKL-40), type IV collagen, and thrombospondin-2 (TSP-2) with fibrosis stage and clinical outcomes in patients... von Trauner, Michael, Muir, Andrew, Xu, Jun, Khoshdeli, Mina, Downie, Bryan, Billin, Andrew, Chung, Chuhan, Myers, Robert, Goodman, Zachary, Shiffman, Mitchell, Janssen, Harry, Montano-Loza, Aldo J, Caldwell, Stephen, Luketic, Velimir, Manns, Michael P., Levy, Cynthia, Bowlus, Christopher

Volltext

Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections von Khoshdeli, Mina, Parvin, Bahram

Volltext bestellen

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

Volltext bestellen

Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections von Khoshdeli, Mina, Parvin, Bahram

Volltext

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

Volltext

Additional file 1 of Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes von Khoshdeli, Mina, Winkelmaier, Garrett, Parvin, Bahram

Volltext bestellen