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Jianan Chen
Jianan Chen
PhD candidate, University of Toronto
Verified email at mail.utoronto.ca
Title
Cited by
Cited by
Year
Loss odyssey in medical image segmentation
J Ma, J Chen, M Ng, R Huang, Y Li, C Li, X Yang, AL Martel
Medical Image Analysis 71, 102035, 2021
4182021
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
J Ma, Y Wang, X An, C Ge, Z Yu, J Chen, Q Zhu, G Dong, J He, Z He, ...
Medical physics 48 (3), 1197-1210, 2021
257*2021
How distance transform maps boost segmentation CNNs: an empirical study
J Ma, Z Wei, Y Zhang, Y Wang, R Lv, C Zhu, C Gaoxiang, J Liu, C Peng, ...
Medical Imaging with Deep Learning, 479-492, 2020
772020
No-reference quality assessment for screen content images based on hybrid region features fusion
L Zheng, L Shen, J Chen, P An, J Luo
IEEE Transactions on Multimedia 21 (8), 2057-2070, 2019
412019
Naturalization module in neural networks for screen content image quality assessment
J Chen, L Shen, L Zheng, X Jiang
IEEE Signal Processing Letters 25 (11), 1685-1689, 2018
292018
Multi-layer domain adaptation for deep convolutional networks
O Ciga, J Chen, A Martel
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
162019
Unsupervised clustering of quantitative imaging phenotypes using autoencoder and gaussian mixture model
J Chen, L Milot, HMC Cheung, AL Martel
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
162019
AMINN: autoencoder-based multiple instance neural network improves outcome prediction in multifocal liver metastases
J Chen, HMC Cheung, L Milot, AL Martel
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
132021
Potential of Raman spectroscopy in facilitating pharmaceutical formulations development–an AI perspective
M Gao, S Liu, J Chen, KC Gordon, F Tian, CM McGoverin
International Journal of Pharmaceutics 597, 120334, 2021
122021
NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation
J Ma, J Chen
International MICCAI Brainlesion Workshop, 421-430, 2021
32021
Targeting tumour-associated macrophages in hodgkin lymphoma using engineered extracellular matrix-mimicking cryogels
LC Bahlmann, C Xue, AA Chin, A Skirzynska, J Lu, B Thériault, D Uehling, ...
Biomaterials 297, 122121, 2023
22023
Head and neck tumor segmentation with 3D UNet and survival prediction with multiple instance neural network
J Chen, AL Martel
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 221-229, 2022
22022
Metastatic cancer outcome prediction with injective multiple instance pooling
J Chen, AL Martel
arXiv preprint arXiv:2203.04964, 2022
22022
Texture heterogeneity of breast tumour in magnetic resonance imaging can be explained by differentially regulated genes
J Chen, Y Amemiya, G Kuling, H Fashandi, Y Yerofeyeva, H Hussein, ...
CANCER RESEARCH 80 (4), 2020
12020
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
J Chen, A Martel
arXiv preprint arXiv:2306.13990, 2023
2023
Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes
AM Cheung, H Besher, D Wang, K Liu, Y Amemiya, J Chen, AL Martel, ...
Medical Imaging 2023: Digital and Computational Pathology 12471, 374-381, 2023
2023
A radiomic biomarker for prognosis of resected colorectal cancer liver metastases generalizes across MRI contrast agents
J Chen, H Cheung, PJ Karanicolas, NG Coburn, G Martel, A Lee, C Patel, ...
Frontiers in Oncology 13, 898854, 2023
2023
General stain deconvolution of histopathology images with physics-guided deep learning
J Chen, LY Liu, W Han, D Wang, AM Cheung, H Tsui, AL Martel
bioRxiv, 2022.12. 06.519385, 2022
2022
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
F Balsiger, A Jungo, J Chen, I Ezhov, S Liu, J Ma, JC Paetzold, ...
arXiv preprint arXiv:2103.05437, 2021
2021
Total Column CO2 measurements with EM27/SUNs
JE Franklin, J Chen, TS Jones, JC Paetzold, J Hedelius, H Nguyen, ...
OCO-2 Science Team Meeting, 2017
2017
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