姓 名：張意
導(dǎo)師類別：博士生導(dǎo)師
職稱/職務(wù)：教授/黨總支副書記兼副院長(zhǎng)
電子郵件：yzhang@scu.edu.cn
個(gè)人主頁(yè): deepimaging.group
研究方向：醫(yī)學(xué)成像、隱私保護(hù)、遙感信息處理、可解釋性人工智能
l 個(gè)人簡(jiǎn)介
張意，教授，博士生導(dǎo)師，永利yl23411官網(wǎng)黨總支副書記兼副院長(zhǎng)。先后于永利yl23411官網(wǎng)計(jì)算機(jī)學(xué)院獲得工學(xué)學(xué)士（2005）、理學(xué)碩士（2008）及工學(xué)博士（2012）學(xué)位。2014年2月至2015年3月于美國(guó)倫斯勒理工學(xué)院生物醫(yī)學(xué)工程系做博士后工作。中國(guó)體視學(xué)會(huì)智能成像分會(huì)副秘書長(zhǎng)、中國(guó)生物醫(yī)學(xué)工程學(xué)會(huì)醫(yī)學(xué)圖像信息與控制分會(huì)及中國(guó)自動(dòng)化學(xué)會(huì)分?jǐn)?shù)階系統(tǒng)與控制專業(yè)委員會(huì)委員、四川省高等院校計(jì)算機(jī)基礎(chǔ)教育研究會(huì)常務(wù)理事。
l 教學(xué)科研及獲獎(jiǎng)情況
張意教授一直從事基于可解釋性人工智能的醫(yī)學(xué)成像相關(guān)工作，具體研究方向包括圖像重建、隱私保護(hù)、深度學(xué)習(xí)等。目前已在IEEE TMI、IEEE TCI、IEEE TMM、IEEE SPL、IEEE TRPMS、IEEE TGRS、MedIA等權(quán)威學(xué)術(shù)期刊及會(huì)議發(fā)表論文70余篇，ESI高被引論文6篇，多次受邀本領(lǐng)域多個(gè)主流會(huì)議（MICCAI, IEEE NSS/MIC, IEEE ISBI, SIAM IS, Fully 3D等）上作特邀報(bào)告，作為負(fù)責(zé)人主持國(guó)家重點(diǎn)研發(fā)計(jì)劃子課題、國(guó)家自然科學(xué)基金、四川省杰出青年科技人才項(xiàng)目等多個(gè)國(guó)家級(jí)、省部級(jí)項(xiàng)目。International Journal of Biomedical Imaging及Sensing and Imaging客座編輯，IEEE Transactions on Medical Imaging期刊卓越審稿人，IEEE ICASSP、ISICDM、UIC、ICSI、中國(guó)生物醫(yī)學(xué)工程大會(huì)等國(guó)內(nèi)外會(huì)議的程序委員會(huì)委員或分會(huì)場(chǎng)主席，中國(guó)體視學(xué)會(huì)智能成像分會(huì)副秘書長(zhǎng)、中國(guó)生物醫(yī)學(xué)工程學(xué)會(huì)醫(yī)學(xué)圖像信息與控制分會(huì)及中國(guó)自動(dòng)化學(xué)會(huì)分?jǐn)?shù)階系統(tǒng)與控制專業(yè)委員會(huì)委員。Nature Machine Intelligence、IEEE TMI、IEEE TNS、IEEE TIP、IEEE TRPMS、IEEE TBME、IEEE TMM等國(guó)際權(quán)威學(xué)術(shù)期刊審稿人。
曾獲吳文俊人工智能科技進(jìn)步獎(jiǎng)二等獎(jiǎng)、中國(guó)體視學(xué)會(huì)青年科技獎(jiǎng)、四川省杰出青年科技人才項(xiàng)目、四川省教學(xué)成果一等獎(jiǎng)、永利yl23411官網(wǎng)未來(lái)教學(xué)名師獎(jiǎng)、永利yl23411官網(wǎng)好未來(lái)優(yōu)秀學(xué)者獎(jiǎng)一等獎(jiǎng)、四川省高層次人才計(jì)劃入選者、四川省學(xué)術(shù)和技術(shù)帶頭人后備人選。
l 近年主持科研項(xiàng)目
1. 自然科學(xué)基金項(xiàng)目《分?jǐn)?shù)階微積分在醫(yī)學(xué)低劑量CT圖像重建中的應(yīng)用研究》（2014-2016）；
2. 自然科學(xué)基金項(xiàng)目《基于圖像塊匹配和低秩張量分解的能譜CT成像理論和方法研究》（2017-2020）；
3. 國(guó)家重點(diǎn)研發(fā)計(jì)劃重點(diǎn)專項(xiàng)項(xiàng)目《高質(zhì)高效的審判支撐關(guān)鍵技術(shù)及裝備研究》（2018-2021）；
4. 四川省杰出青年科技人才項(xiàng)目《基于弱監(jiān)督學(xué)習(xí)的醫(yī)學(xué)成像方法研究》（2021-2023）。
l 近年代表性論文著作
1. Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, and Yi Zhang. CT Reconstruction with PDF: Parameter-dependent framework for data from multiple geometries and dose levels. IEEE Transactions on Medical Imaging, pp. 3065-3076, vol. 40, no. 11, 2021.
2. Wenjun Xia, Zexin Lu, Yongqiang Huang, Zuoqiang Shi, Yan Liu, Hu Chen, Yang Chen, Jiliu Zhou, and Yi Zhang. MAGIC: Manifold and graph integrative convolutional network for low-dose CT reconstruction. IEEE Transactions on Medical Imaging, pp. 3459-3472, vol. 40, no. 12, 2021.
3. Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Hu Chen, Jiliu Zhou, Leyuan Fang, and Yi Zhang. Noise-powered disentangled representation for unsupervised speckle reduction of optical coherence tomography images. IEEE Transactions on Medical Imaging, pp. 2600-2614, vol. 40, no. 10, 2021.
4. Zerui Shao, Yifei Pu, Jiliu Zhou, Bihan Wen, and Yi Zhang. Hyper RPCA: Joint maximum correntropy criterion and Laplacian scale mixture modeling on-the-fly for moving object detection. IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2021.3121571, 2021.
5. Yancun Lai, Fei Fan, Qingsong Wu, Wenchi Ke, Peixi Liao, Zhenhua Deng, Hu Chen, Yi Zhang. LCANet: Learnable connected attention network for human identification using dental images. IEEE Transactions on Medical Imaging, pp. 905-915, vol. 40, no. 3, 2021.
6. Maosong Ran, Wenjun Xia, Yongqiang Huang, Zexin Lu, Peng Bao, Yan Liu, Huaiqiang Sun, Jiliu Zhou, and Yi Zhang. MD-Recon-Net: a parallel dual-domain convolutional neural network for compressed sensing MRI. IEEE Transactions on Radiation and Plasma Medical Sciences, pp. 120-135, vol. 5, no. 1, 2021.
7. Chenyu You, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Eric A. Hoffman, and Ge Wang. CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE). IEEE Transactions on Medical Imaging, pp. 188-203, vol. 39, no. 1, 2020.
8. Wenjun Xia, Weiwen Wu, Shanzhou Niu, Fenglin Liu, Jiliu Zhou, Hengyong Yu, Ge Wang, and Yi Zhang. Spectral CT reconstruction – ASSIST: aided by self-similarity in image-spectral tensors. IEEE Transactions on Computational Imaging, pp. 420-436, vol. 5, no. 3, 2019.
9. Peng Bao, Wenjun Xia, Kang Yang, Weiyan Chen, Mianyi Chen, Yan Xi, Jiliu Zhou, He Zhang, Huaiqiang Sun, Zhangyang Wang, and Yi Zhang. Convolutional sparse coding for compressed sensing CT reconstruction. IEEE Transactions on Medical Imaging, pp. 2607-2619, vol. 38, no. 11, 2019.
10. Maosong Ran, Jinrong Hu, Yang Chen, Huaiqiang Sun, Jiliu Zhou, and Yi Zhang. Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network. Medical Image Analysis, pp. 165-180, vol. 55, 2019.
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