王坤，男，博士，計(jì)算機(jī)科學(xué)與工程系教師，主要從事模式識(shí)別、深度學(xué)習(xí)、醫(yī)學(xué)影像分析等研究，2016年9月-2022年9月于重慶大學(xué)控制科學(xué)與工程/軟件工程專業(yè)碩博連讀并獲工學(xué)博士學(xué)位（2022）。2022年10月入職安徽工程大學(xué)計(jì)算機(jī)與信息學(xué)院并從事教學(xué)、科研工作，目前參與國(guó)家重點(diǎn)研發(fā)計(jì)劃、國(guó)家自然科學(xué)基金、重慶市科委重大專項(xiàng)等國(guó)家和省部級(jí)項(xiàng)目多項(xiàng), 近年來已在國(guó)際知名期刊/會(huì)議PR、BSPC、ACM MM 、MICCAI、IEEE ISBI、IEEE BIBM等發(fā)表學(xué)術(shù)論文15余篇，申請(qǐng)國(guó)家發(fā)明專利3項(xiàng)，榮獲2022年度重慶市優(yōu)秀博士畢業(yè)生，現(xiàn)為MICCAI會(huì)員、中國(guó)計(jì)算機(jī)學(xué)會(huì)會(huì)員、中國(guó)人工智能學(xué)會(huì)會(huì)員，擔(dān)任PR，PRCV，IEEE ISBI，IEEE ICIP等多個(gè)國(guó)內(nèi)外權(quán)威刊物的審稿人。

致力于通過人工智能來賦能醫(yī)學(xué)健康特別是醫(yī)學(xué)影像領(lǐng)域發(fā)展。實(shí)驗(yàn)室學(xué)術(shù)氛圍融洽，期待更多有志于人工智能和智慧醫(yī)療等跨學(xué)科領(lǐng)域的本科生、研究生加入我們團(tuán)隊(duì)。

Email：[email protected]

主持/參與科研項(xiàng)目：

[1] 安徽工程大學(xué)引進(jìn)人才科研啟動(dòng)項(xiàng)目：面向醫(yī)學(xué)影像分割的幾何先驗(yàn)學(xué)習(xí)關(guān)鍵技術(shù)研究，項(xiàng)目批準(zhǔn)號(hào)：2022YQQ095，主持

[2] 國(guó)家自然科學(xué)基金面上項(xiàng)目：面向醫(yī)學(xué)影像分割的內(nèi)外幾何結(jié)構(gòu)表示學(xué)習(xí)及傳播機(jī)制研究，項(xiàng)目批準(zhǔn)號(hào)：62276033，主研

[3] 重慶市科委重大專項(xiàng): 醫(yī)療影像深度智能診斷平臺(tái)關(guān)鍵技術(shù)研究及應(yīng)用示范，項(xiàng)目批準(zhǔn)號(hào)：cstc2018jszx-cyztzxX0017，主研

[4] 國(guó)家自然科學(xué)基金面上項(xiàng)目：深度形狀語義網(wǎng)絡(luò)表示機(jī)理及其結(jié)構(gòu)保留機(jī)制與判別性研究，項(xiàng)目批準(zhǔn)號(hào)：61772093，參與

[5] 國(guó)家自然科學(xué)基金面上項(xiàng)目：少樣本學(xué)習(xí)特征生成與魯棒性關(guān)鍵技術(shù)研究，項(xiàng)目批準(zhǔn)號(hào)：62176030，參與

[6] 科技部國(guó)家重點(diǎn)研發(fā)計(jì)劃：川渝特大城市群服務(wù)集成與治理關(guān)鍵技術(shù)研究與應(yīng)用，科技部國(guó)家重點(diǎn)研發(fā)計(jì)劃（項(xiàng)目），項(xiàng)目批準(zhǔn)號(hào)：2018YFB2101200，參與

主要榮譽(yù)獎(jiǎng)勵(lì):

2014年獲  安徽省優(yōu)秀畢業(yè)生

2022年獲  重慶大學(xué)優(yōu)秀博士畢業(yè)生

2022年獲  重慶市優(yōu)秀博士畢業(yè)生

部分發(fā)表論文：（CCF=中國(guó)計(jì)算機(jī)學(xué)會(huì)，SCI=中科院大類分區(qū)）

[1] Wang K, Zhang X, Zhang X, et al. EANet: Iterative Edge Attention Network for Medical Image Segmentation[J]. Pattern Recognition, 2022,127:108636. (SCI 中科院1區(qū) Top 期刊，CCF-B 類期刊，IF：8.518)

[2] Wang K, Zhang X, et al. GSAL: Geometric Structure Adversarial Learning for Robust Medical Image Segmentation [J]. Pattern Recognition, 2022. (SCI 中科院1區(qū) Top 期刊，CCF-B 類期刊，（大修），IF：8.518)

[3] Wang K, Zhang X, Lu Y, et al. CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation[J]. Biomedical Signal Processing and Control, 2022, 75: 103621. (SCI 中科院2區(qū)期刊，IF：5.076)

[4] Wang K, Zhang X, Zhang X, et al. Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules[J]. Biomedical Signal Processing and Control, 2021, 69: 102890. (SCI 中科院2區(qū)期刊，IF：5.076)

[5] Wang K, Zhang X, Huang S, et al. Learning to recognize thoracic disease in chest X-rays with knowledge-guided deep zoom neural networks[J]. Access, 2020, 8: 159790-159805. (SCI中科院2區(qū)期刊，IF：4.098)

[6] Wang K, Zhang X, Huang S. KGZNet: Knowledge-guided deep zoom neural networks for thoracic disease classification[C]. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019: 1396-1401. (EI 會(huì)議，CCF-B 類會(huì)議)

[7] Wang K, Zhang X, Huang S, et al. Ctf-net: Retinal vessel segmentation via deep coarse-to-fine supervision network[C]. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, 2020: 1237-1241. (EI 會(huì)議，生物醫(yī)學(xué)影像領(lǐng)域頂會(huì))

[8] Wang K, Zhang X, Huang S, et al. Automatic detection of pneumonia in chest X-ray images using cooperative convolutional neural networks[C]. Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2019: 328-340. (EI 會(huì)議，國(guó)內(nèi)模式識(shí)別與及計(jì)算機(jī)視覺領(lǐng)域頂會(huì)，CCF-C類會(huì)議）

[9] Li J, Wang K, Yang D, et al. Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection[C]. ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 1215-1219. (EI 會(huì)議，CCF-B類會(huì)議)

[10] Zhang X, Wang K, Zhang X, et al. Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks[C]. Pacific Rim International Conference on Artificial Intelligence (PRICAI). Springer, Cham, 2021: 280-292. (EI 會(huì)議，CCF-C 類會(huì)議)

[11] Xu W, Wang K, Lin J, et al. Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification[C]. 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020: 310-314. (EI 會(huì)議，CCF-C 類會(huì)議)

[12] Chen W, Wang Q, Wang K, et al. MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation[C]. 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021: 1029-1035. (EI 會(huì)議，CCF-C 類會(huì)議)

[13] Wang Q, Zhang X, Chen W, Wang K, et al. Class-aware multi-window adversarial lung nodule synthesis conditioned on semantic features[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, Cham, 2020: 589-598. (EI會(huì)議，醫(yī)學(xué)影像計(jì)算領(lǐng)域頂會(huì)，CCF-B 類會(huì)議)

[14] Zhang W, Zhang X, Huang S, Lu Y, Wang K. PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images[C]. Proceedings of the 30th ACM International Conference on Multimedia. 2022: 4742-4750.(EI 會(huì)議，CCF-A 類會(huì)議)

[15] Zhang W, Zhang X, Huang S, Lu Y, Wang K. A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation [C]. Proceedings of the 30th ACM International Conference on Multimedia. 2022: 4751-4759. (EI 會(huì)議，CCF-A 類會(huì)議)

發(fā)明專利：

1. 趙璽;王坤;林景棟;陳敏;林正一種預(yù)測(cè)固體火箭發(fā)動(dòng)機(jī)貯存壽命方法專利號(hào)（201710724663.1）

2. 林景棟;王坤;楊琰冰;林正;陳敏 基于現(xiàn)實(shí)與模糊數(shù)據(jù)深度融合學(xué)習(xí)的固體火箭發(fā)動(dòng)機(jī)可靠性預(yù)測(cè)方法 專利號(hào)（201810891087.4）

3. 林景棟;楊琰冰;鄭錫;曾憲杰;潘攀;王坤 建筑外遮陽百葉旋轉(zhuǎn)角度與室內(nèi)光照度關(guān)系模型的計(jì)算方法專利號(hào)（201810637978.7）