| Whole-cell scale dynamic organization of lysosomes revealed by spatial statistical analysis Q Ba, G Raghavan, K Kiselyov, G Yang Cell reports 23 (12), 3591-3606, 2018 | 69 | 2018 |
| Inner membrane fusion mediates spatial distribution of axonal mitochondria Y Yu, HC Lee, KC Chen, J Suhan, M Qiu, Q Ba, G Yang Scientific reports 6 (1), 18981, 2016 | 36 | 2016 |
| Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology X Chai, Q Ba, G Yang Quantitative Biology 6 (4), 344-358, 2018 | 13 | 2018 |
| Quality Assessment of Synthetic Fluorescence Microscopy Images for Image Segmentation Y Feng, X Chai, Q Ba, G Yang 2019 IEEE International Conference on Image Processing (ICIP), 814-818, 2019 | 8 | 2019 |
| Intracellular organelle networks: Understanding their organization and communication through systems-level modeling and analysis Q Ba, G Yang Frontiers in Biology 12, 7-18, 2017 | 8 | 2017 |
| Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images V Kaustaban, Q Ba, I Bhattacharya, N Sobh, S Mukherjee, J Martin, ... International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2022 | 5 | 2022 |
| Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching H Yang, J Wang, H Tang, Q Ba, G Yang, X Tang 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 5 | 2017 |
| Characterizing Robustness and Sensitivity of Convolutional Neural Networks in Segmentation of Fluorescence Microscopy Images X Chai, Q Ba, G Yang 2018 25th IEEE International Conference on Image Processing (ICIP), 3838-3842, 2018 | 4 | 2018 |
| Continual Learning for Tumor Classification in Histopathology Images V Kaustaban, Q Ba, I Bhattacharya, N Sobh, S Mukherjee, J Martin, ... arXiv preprint arXiv:2208.03609, 2022 | 2 | 2022 |
| Structured Model Pruning for Efficient Inference in Computational Pathology M Adnan, Q Ba, N Shaikh, S Kalra, S Mukherjee, A Lorsakul Medical Imaging with Deep Learning, 2024 | | 2024 |
| Hybrid and accelerated ground-truth generation for duplex arrays Q Ba, JF Martin, S Mukherjee, Y Nie, X Wang, MI Yazdanabadi US Patent App. 18/125,043, 2023 | | 2023 |
| A Deep-Learning Based Approach to Accelerate Groundtruth Generation for Biomarker Status Identification in Chromogenic Duplex Images S Mukherjee, Q Ba, J Martin, Y Nie Medical Imaging with Deep Learning, short paper track, 2023 | | 2023 |
| A framework for building robust deep-learning models against out-of-focus artifact in whole-slide images Q Ba, J Matin Journal of Pathology Informatics 13, 100085, 2022 | | 2022 |
| 660 Developing generalizable deep learning models for tumor segmentation in pathology images to enable the identification of predictive biomarkers for immunotherapies Q Ba, P Yang, J Yearley Journal for ImmunoTherapy of Cancer 8 (Suppl 3), 2020 | | 2020 |
| Cytoskeleton-Mediated Dynamic Organization of Lysosomes Promotes Their Interactions with Endosomes Q Ba, G Raghavan, K Kiselyov, G Yang Biophysical Journal 114 (3), 656a, 2018 | | 2018 |
| Quantitative Modeling and Analysis of the Whole-Cell Scale Dynamic Organization of Lysosomes Q Ba Carnegie Mellon University, 2018 | | 2018 |
| Image-based measurement of cargo traffic flow in complex neurite networks X Chai, D Qian, Q Ba, A Li, YJ Zhang, G Yang 2017 IEEE International Conference on Image Processing (ICIP), 3290-3294, 2017 | | 2017 |
| Computational Analysis of Whole-Cell Scale Distributions and Interactions of Intracellular Organelle Networks Q Ba, G Raghavan, HC Lee, G Yang Biophysical Journal 112 (3), 238a, 2017 | | 2017 |
