Qinle Ba - researchr alias

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Viewing Publication 1 - 6 from 6

2022

Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology ImagesVeena Kaustaban, Qinle Ba, Ipshita Bhattacharya, Nahil Sobh, Satarupa Mukherjee, Jim Martin, Mohammad Saleh Miri, Christoph Guetter, Amal Chaturvedi. miccai 2022: 177-187 [doi]

2019

Quality Assessment of Synthetic Fluorescence Microscopy Images for Image SegmentationYile Feng, Xiaoqi Chai, Qinle Ba, Ge Yang. icip 2019: 814-818 [doi]

2018

Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphologyXiaoqi Chai, Qinle Ba, Ge Yang. quanbio, 6(4):344-358, 2018. [doi]

Characterizing Robustness and Sensitivity of Convolutional Neural Networks in Segmentation of Fluorescence Microscopy ImagesXiaoqi Chai, Qinle Ba, Ge Yang. icip 2018: 3838-3842 [doi]

2017

Image-based measurement of cargo traffic flow in complex neurite networksXiaoqi Chai, Douglas Qian, Qinle Ba, Angran Li, Yongjie Jessica Zhang, Ge Yang. icip 2017: 3290-3294 [doi]

Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matchingHuilin Yang, Jing Wang, Haiyun Tang, Qinle Ba, Ge Yang, Xiaoying Tang. embc 2017: 4062-4065 [doi]

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