Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. - Haotian Wang 005; Min Xian; Aleksandar Vakanski (ISBI, 2020)

Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection. - Sujata Butte; Aleksandar Vakanski; Kasia Duellman; Haotian Wang 005; Amin Mirkouei (CoRR, 2021)

Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation. - Changfa Shi; Min Xian; Xiancheng Zhou; Haotian Wang 005; Heng-Da Cheng (Medical Image Anal., 2021)

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. - Sujata Butte; Haotian Wang 005; Min Xian; Aleksandar Vakanski (ISBI, 2022)

TA-Net: Topology-Aware Network for Gland Segmentation. - Haotian Wang 005; Min Xian; Aleksandar Vakanski (WACV, 2022)

Enhanced Sharp-Gan for Histopathology Image Synthesis. - Sujata Butte; Haotian Wang 005; Aleksandar Vakanski; Min Xian (ISBI, 2023)

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. - Haotian Wang 005; Min Xian; Aleksandar Vakanski; Bryar Shareef (ISBI, 2023)

Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. - Bryar Shareef; Min Xian; Aleksandar Vakanski; Haotian Wang 005 (MICCAI (4), 2023)

Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. - Haotian Wang 005; Aleksandar Vakanski; Changfa Shi; Min Xian (Inf., 2024)