Haotian Wang

According to our database, Haotian Wang authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network.

Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis.

Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhanced Sharp-Gan for Histopathology Image Synthesis.

Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

TA-Net: Topology-Aware Network for Gland Segmentation.

Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis.

Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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, Heng-Da Cheng

Medical Image Anal., 2021

Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images.

Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian

CoRR, 2021

Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection.

Sujata Butte, Aleksandar Vakanski, Kasia Duellman, Haotian Wang, Amin Mirkouei

CoRR, 2021

2020

Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images.

Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020