@String(PAMI = {IEEE Trans. Pattern Anal. Mach. Intell.})
@String(IJCV = {Int. J. Comput. Vis.})
@String(CVPR= {IEEE Conf. Comput. Vis. Pattern Recog.})
@String(ICCV= {Int. Conf. Comput. Vis.})
@String(ECCV= {Eur. Conf. Comput. Vis.})
@String(NIPS= {Adv. Neural Inform. Process. Syst.})
@String(ICPR = {Int. Conf. Pattern Recog.})
@String(BMVC= {Brit. Mach. Vis. Conf.})
@String(TOG= {ACM Trans. Graph.})
@String(TIP  = {IEEE Trans. Image Process.})
@String(TVCG  = {IEEE Trans. Vis. Comput. Graph.})
@String(TMM  = {IEEE Trans. Multimedia})
@String(ACMMM= {ACM Int. Conf. Multimedia})
@String(ICME = {Int. Conf. Multimedia and Expo})
@String(ICASSP=	{ICASSP})
@String(ICIP = {IEEE Int. Conf. Image Process.})
@String(ACCV  = {ACCV})
@String(ICLR = {Int. Conf. Learn. Represent.})
@String(IJCAI = {IJCAI})
@String(PR   = {Pattern Recognition})
@String(AAAI = {AAAI})
@String(CVPRW= {IEEE Conf. Comput. Vis. Pattern Recog. Worksh.})
@String(CSVT = {IEEE Trans. Circuit Syst. Video Technol.})

@String(SPL	= {IEEE Sign. Process. Letters})
@String(VR   = {Vis. Res.})
@String(JOV	 = {J. Vis.})
@String(TVC  = {The Vis. Comput.})
@String(JCST  = {J. Comput. Sci. Tech.})
@String(CGF  = {Comput. Graph. Forum})
@String(CVM = {Computational Visual Media})


@String(PAMI  = {IEEE TPAMI})
@String(IJCV  = {IJCV})
@String(CVPR  = {CVPR})
@String(ICCV  = {ICCV})
@String(ECCV  = {ECCV})
@String(NIPS  = {NeurIPS})
@String(ICPR  = {ICPR})
@String(BMVC  =	{BMVC})
@String(TOG   = {ACM TOG})
@String(TIP   = {IEEE TIP})
@String(TVCG  = {IEEE TVCG})
@String(TCSVT = {IEEE TCSVT})
@String(TMM   =	{IEEE TMM})
@String(ACMMM = {ACM MM})
@String(ICME  =	{ICME})
@String(ICASSP=	{ICASSP})
@String(ICIP  = {ICIP})
@String(ACCV  = {ACCV})
@String(ICLR  = {ICLR})
@String(IJCAI = {IJCAI})
@String(PR = {PR})
@String(AAAI = {AAAI})
@String(CVPRW= {CVPRW})
@String(CSVT = {IEEE TCSVT})



@misc{Authors14,
 author = {FirstName LastName},
 title = {The frobnicatable foo filter},
 note = {Face and Gesture submission ID 324. Supplied as supplemental material {\tt fg324.pdf}},
 year = 2014
}

@misc{Authors14b,
 author = {FirstName LastName},
 title = {Frobnication tutorial},
 note = {Supplied as supplemental material {\tt tr.pdf}},
 year = 2014
}

@article{Alpher02,
author = {FirstName Alpher},
title = {Frobnication},
journal = PAMI,
volume = 12,
number = 1,
pages = {234--778},
year = 2002
}

@article{Alpher03,
author = {FirstName Alpher and  FirstName Fotheringham-Smythe},
title = {Frobnication revisited},
journal = {Journal of Foo},
volume = 13,
number = 1,
pages = {234--778},
year = 2003
}

@article{Alpher04,
author = {FirstName Alpher and FirstName Fotheringham-Smythe and FirstName Gamow},
title = {Can a machine frobnicate?},
journal = {Journal of Foo},
volume = 14,
number = 1,
pages = {234--778},
year = 2004
}

@inproceedings{Alpher05,
author = {FirstName Alpher and FirstName Gamow},
title = {Can a computer frobnicate?},
booktitle = CVPR,
pages = {234--778},
year = 2005
}



@article{deng2023omni,
  title={Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation},
  author={Deng, Ruining and Liu, Quan and Cui, Can and Yao, Tianyuan and Long, Jun and Asad, Zuhayr and Womick, R Michael and Zhu, Zheyu and Fogo, Agnes B and Zhao, Shilin and others},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2023},
  publisher={IEEE}
}


@article{dosovitskiy2020image,
  title={An image is worth 16x16 words: Transformers for image recognition at scale},
  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
  journal={arXiv preprint arXiv:2010.11929},
  year={2020}
}


@article{zeng2020identification,
  title={Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning},
  author={Zeng, Caihong and Nan, Yang and Xu, Feng and Lei, Qunjuan and Li, Fengyi and Chen, Tingyu and Liang, Shaoshan and Hou, Xiaoshuai and Lv, Bin and Liang, Dandan and others},
  journal={The Journal of pathology},
  volume={252},
  number={1},
  pages={53--64},
  year={2020},
  publisher={Wiley Online Library}
}

@article{mounier2002cortical,
  title={Cortical thickness: an early morphological marker of atherosclerotic renal disease},
  author={Mounier-Vehier, Claire and Lions, Christophe and Devos, Patrick and Jaboureck, Olivier and Willoteaux, Serge and Carre, Alain and Beregi, Jean-Paul},
  journal={Kidney international},
  volume={61},
  number={2},
  pages={591--598},
  year={2002},
  publisher={Elsevier}
}

@article{kellum2008acute,
  title={Acute kidney injury},
  author={Kellum, John A},
  journal={Critical care medicine},
  volume={36},
  number={4},
  pages={S141--S145},
  year={2008},
  publisher={LWW}
}

@article{jimenez2006mast,
  title={Mast cell quantification in normal peritoneum and during peritoneal dialysis treatment},
  author={Jim{\'e}nez-Heffernan, Jos{\'e}A and Bajo, M Auxiliadora and Perna, Cristian and del Peso, Gloria and Larrubia, Juan R and Gamallo, Carlos and S{\'a}nchez-Tomero, Jos{\'e}A and L{\'o}pez-Cabrera, Manuel and Selgas, Rafael},
  journal={Archives of pathology \& laboratory medicine},
  volume={130},
  number={8},
  pages={1188--1192},
  year={2006}
}

@article{bandari2016renal,
  title={Renal biopsy for medical renal disease: indications and contraindications},
  author={Bandari, Jathin and Fuller, Thomas W and Turner, Robert M and D’Agostino, Louis A},
  journal={Can J Urol},
  volume={23},
  number={1},
  pages={8121--6},
  year={2016}
}


@misc{bengtsson2017computer,
  title={Computer-aided diagnostics in digital pathology},
  author={Bengtsson, Ewert and Danielsen, H{\aa}vard and Treanor, Darren and Gurcan, Metin N and MacAulay, Calum and Moln{\'a}r, B{\'e}la},
  journal={Cytometry Part A},
  volume={91},
  number={6},
  pages={551--554},
  year={2017}
}


@article{marti2021digital,
  title={Digital pathology: accurate technique for quantitative assessment of histological features in metabolic-associated fatty liver disease},
  author={Marti-Aguado, David and Rodr{\'\i}guez-Ortega, Alejandro and Mestre-Alagarda, Claudia and Bauza, M{\'o}nica and Valero-P{\'e}rez, Elena and Alfaro-Cervello, Clara and Benlloch, Salvador and P{\'e}rez-Rojas, Judith and Ferr{\'a}ndez, Antonio and Alemany-Monraval, Pilar and others},
  journal={Alimentary Pharmacology \& Therapeutics},
  volume={53},
  number={1},
  pages={160--171},
  year={2021},
  publisher={Wiley Online Library}
}


@article{gomes2021building,
  title={Building robust pathology image analyses with uncertainty quantification},
  author={Gomes, Jeremias and Kong, Jun and Kurc, Tahsin and Melo, Alba CMA and Ferreira, Renato and Saltz, Joel H and Teodoro, George},
  journal={Computer Methods and Programs in Biomedicine},
  volume={208},
  pages={106291},
  year={2021},
  publisher={Elsevier}
}


@article{wijkstrom2018morphological,
  title={Morphological and clinical findings in Sri Lankan patients with chronic kidney disease of unknown cause (CKDu): Similarities and differences with Mesoamerican Nephropathy},
  author={Wijkstr{\"o}m, Julia and Jayasumana, Channa and Dassanayake, Rajeewa and Priyawardane, Nalin and Godakanda, Nimali and Siribaddana, Sisira and Ring, Anneli and Hultenby, Kjell and S{\"o}derberg, Magnus and Elinder, Carl-Gustaf and others},
  journal={PloS one},
  volume={13},
  number={3},
  pages={e0193056},
  year={2018},
  publisher={Public Library of Science San Francisco, CA USA}
}


@article{zheng2021deep,
  title={Deep-learning--driven quantification of interstitial fibrosis in digitized kidney biopsies},
  author={Zheng, Yi and Cassol, Clarissa A and Jung, Saemi and Veerapaneni, Divya and Chitalia, Vipul C and Ren, Kevin YM and Bellur, Shubha S and Boor, Peter and Barisoni, Laura M and Waikar, Sushrut S and others},
  journal={The American journal of pathology},
  volume={191},
  number={8},
  pages={1442--1453},
  year={2021},
  publisher={Elsevier}
}


@article{imig2022interactions,
  title={Interactions Between Podocytes, Mesangial Cells, and Glomerular Endothelial Cells in Glomerular Diseases},
  author={Imig, John D and Zhao, Xueying and Elmarakby, Ahmed A and Pavlov, Tengis},
  journal={Frontiers in Physiology},
  pages={488},
  year={2022},
  publisher={Frontiers}
}

@article{li2019u,
  title={U-net Ensemble Model for Segmentation inHistopathology Images},
  author={Li, Yilong and Huang, Xingru and Wang, Yaqi and Xu, Zhaoyang and Sun, Yibao and Zhang, Qianni},
  year={2019}
}


@article{hermsen2019deep,
  title={Deep learning--based histopathologic assessment of kidney tissue},
  author={Hermsen, Meyke and de Bel, Thomas and Den Boer, Marjolijn and Steenbergen, Eric J and Kers, Jesper and Florquin, Sandrine and Roelofs, Joris JTH and Stegall, Mark D and Alexander, Mariam P and Smith, Byron H and others},
  journal={Journal of the American Society of Nephrology},
  volume={30},
  number={10},
  pages={1968--1979},
  year={2019},
  publisher={Am Soc Nephrol}
}


@inproceedings{zhang2021dodnet,
  title={DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets},
  author={Zhang, Jianpeng and Xie, Yutong and Xia, Yong and Shen, Chunhua},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1195--1204},
  year={2021}
}


@inproceedings{wu2022tgnet,
  title={Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets},
  author={Wu, Hao and Pang, Shuchao and Sowmya, Arcot},
  booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  pages={1--5},
  year={2022},
  organization={IEEE}
}


@article{jayapandian2021development,
  title={Development and evaluation of deep learning--based segmentation of histologic structures in the kidney cortex with multiple histologic stains},
  author={Jayapandian, Catherine P and Chen, Yijiang and Janowczyk, Andrew R and Palmer, Matthew B and Cassol, Clarissa A and Sekulic, Miroslav and Hodgin, Jeffrey B and Zee, Jarcy and Hewitt, Stephen M and O’Toole, John and others},
  journal={Kidney international},
  volume={99},
  number={1},
  pages={86--101},
  year={2021},
  publisher={Elsevier}
}


@article{kumar2017dataset,
  title={A dataset and a technique for generalized nuclear segmentation for computational pathology},
  author={Kumar, Neeraj and Verma, Ruchika and Sharma, Sanuj and Bhargava, Surabhi and Vahadane, Abhishek and Sethi, Amit},
  journal={IEEE transactions on medical imaging},
  volume={36},
  number={7},
  pages={1550--1560},
  year={2017},
  publisher={IEEE}
}


@article{ding2020multi,
  title={Multi-scale fully convolutional network for gland segmentation using three-class classification},
  author={Ding, Huijun and Pan, Zhanpeng and Cen, Qian and Li, Yang and Chen, Shifeng},
  journal={Neurocomputing},
  volume={380},
  pages={150--161},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{ren2017computer,
  title={Computer aided analysis of prostate histopathology images to support a refined Gleason grading system},
  author={Ren, Jian and Sadimin, Evita and Foran, David J and Qi, Xin},
  booktitle={Medical Imaging 2017: Image Processing},
  volume={10133},
  pages={101331V},
  year={2017},
  organization={International Society for Optics and Photonics}
}



@incollection{bel2018structure,
  title={Structure instance segmentation in renal tissue: a case study on tubular immune cell detection},
  author={Bel, T de and Hermsen, Meyke and Litjens, Geert and Laak, J},
  booktitle={Computational Pathology and Ophthalmic Medical Image Analysis},
  pages={112--119},
  year={2018},
  publisher={Springer}
}


@inproceedings{zhu2017unpaired,
  title={Unpaired image-to-image translation using cycle-consistent adversarial networks},
  author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2223--2232},
  year={2017}
}


@inproceedings{ronneberger2015u,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical image computing and computer-assisted intervention},
  pages={234--241},
  year={2015},
  organization={Springer}
}


@misc{imgaug,
  author = {Jung, Alexander B.
            and Wada, Kentaro
            and Crall, Jon
            and Tanaka, Satoshi
            and Graving, Jake
            and Reinders, Christoph
            and Yadav, Sarthak
            and Banerjee, Joy
            and Vecsei, Gábor
            and Kraft, Adam
            and Rui, Zheng
            and Borovec, Jirka
            and Vallentin, Christian
            and Zhydenko, Semen
            and Pfeiffer, Kilian
            and Cook, Ben
            and Fernández, Ismael
            and De Rainville, François-Michel
            and Weng, Chi-Hung
            and Ayala-Acevedo, Abner
            and Meudec, Raphael
            and Laporte, Matias
            and others},
  title = {{imgaug}},
  howpublished = {\url{https://github.com/aleju/imgaug}},
  year = {2020},
  note = {Online; accessed 01-Feb-2020}
}


@inproceedings{strudel2021segmenter,
  title={Segmenter: Transformer for semantic segmentation},
  author={Strudel, Robin and Garcia, Ricardo and Laptev, Ivan and Schmid, Cordelia},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={7262--7272},
  year={2021}
}

@article{xie2021segformer,
  title={SegFormer: Simple and efficient design for semantic segmentation with transformers},
  author={Xie, Enze and Wang, Wenhai and Yu, Zhiding and Anandkumar, Anima and Alvarez, Jose M and Luo, Ping},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={12077--12090},
  year={2021}
}


@inproceedings{hatamizadeh2022unetr,
  title={Unetr: Transformers for 3d medical image segmentation},
  author={Hatamizadeh, Ali and Tang, Yucheng and Nath, Vishwesh and Yang, Dong and Myronenko, Andriy and Landman, Bennett and Roth, Holger R and Xu, Daguang},
  booktitle={Proceedings of the IEEE/CVF winter conference on applications of computer vision},
  pages={574--584},
  year={2022}
}


@inproceedings{hatamizadeh2021swin,
  title={Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images},
  author={Hatamizadeh, Ali and Nath, Vishwesh and Tang, Yucheng and Yang, Dong and Roth, Holger R and Xu, Daguang},
  booktitle={International MICCAI Brainlesion Workshop},
  pages={272--284},
  year={2021},
  organization={Springer}
}

@article{fang2020multi,
  title={Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction},
  author={Fang, Xi and Yan, Pingkun},
  journal={IEEE Transactions on Medical Imaging},
  volume={39},
  number={11},
  pages={3619--3629},
  year={2020},
  publisher={IEEE}
}


@article{lutnick2019integrated,
  title={An integrated iterative annotation technique for easing neural network training in medical image analysis},
  author={Lutnick, Brendon and Ginley, Brandon and Govind, Darshana and McGarry, Sean D and LaViolette, Peter S and Yacoub, Rabi and Jain, Sanjay and Tomaszewski, John E and Jen, Kuang-Yu and Sarder, Pinaki},
  journal={Nature machine intelligence},
  volume={1},
  number={2},
  pages={112--119},
  year={2019},
  publisher={Nature Publishing Group}
}


@article{salvi2021automated,
  title={Automated assessment of glomerulosclerosis and tubular atrophy using deep learning},
  author={Salvi, Massimo and Mogetta, Alessandro and Gambella, Alessandro and Molinaro, Luca and Barreca, Antonella and Papotti, Mauro and Molinari, Filippo},
  journal={Computerized Medical Imaging and Graphics},
  volume={90},
  pages={101930},
  year={2021},
  publisher={Elsevier}
}


@article{bouteldja2021deep,
  title={Deep learning--based segmentation and quantification in experimental kidney histopathology},
  author={Bouteldja, Nassim and Klinkhammer, Barbara M and B{\"u}low, Roman D and Droste, Patrick and Otten, Simon W and von Stillfried, Saskia Freifrau and Moellmann, Julia and Sheehan, Susan M and Korstanje, Ron and Menzel, Sylvia and others},
  journal={Journal of the American Society of Nephrology},
  volume={32},
  number={1},
  pages={52--68},
  year={2021},
  publisher={Am Soc Nephrol}
}


@inproceedings{gao2021instance,
  title={Instance-based vision transformer for subtyping of papillary renal cell carcinoma in histopathological image},
  author={Gao, Zeyu and Hong, Bangyang and Zhang, Xianli and Li, Yang and Jia, Chang and Wu, Jialun and Wang, Chunbao and Meng, Deyu and Li, Chen},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2021: 24th International Conference, Strasbourg, France, September 27--October 1, 2021, Proceedings, Part VIII 24},
  pages={299--308},
  year={2021},
  organization={Springer}
}


@article{chen2019med3d,
  title={Med3d: Transfer learning for 3d medical image analysis},
  author={Chen, Sihong and Ma, Kai and Zheng, Yefeng},
  journal={arXiv preprint arXiv:1904.00625},
  year={2019}
}

@article{feng2022artificial,
  title={Artificial intelligence in renal pathology: Current status and future},
  author={Feng, Chunyue and Liu, Fei},
  journal={Bosnian Journal of Basic Medical Sciences},
  year={2022}
}

@article{hara2022evaluating,
  title={Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules},
  author={Hara, Satoshi and Haneda, Emi and Kawakami, Masaki and Morita, Kento and Nishioka, Ryo and Zoshima, Takeshi and Kometani, Mitsuhiro and Yoneda, Takashi and Kawano, Mitsuhiro and Karashima, Shigehiro and others},
  journal={PloS one},
  volume={17},
  number={7},
  pages={e0271161},
  year={2022},
  publisher={Public Library of Science San Francisco, CA USA}
}

@article{gadermayr1708cnn,
  title={CNN Cascades for Segmenting Whole Slide Images of the Kidney. arXiv 2017},
  author={Gadermayr, M and Dombrowski, AK and Klinkhammer, BM and Boor, P and Merhof, D},
  journal={arXiv preprint arXiv:1708.00251}
}

@article{gallego2018glomerulus,
  title={Glomerulus classification and detection based on convolutional neural networks},
  author={Gallego, Jaime and Pedraza, Anibal and Lopez, Samuel and Steiner, Georg and Gonzalez, Lucia and Laurinavicius, Arvydas and Bueno, Gloria},
  journal={Journal of Imaging},
  volume={4},
  number={1},
  pages={20},
  year={2018},
  publisher={Multidisciplinary Digital Publishing Institute}
}


@inproceedings{johnson2019automatic,
  title={Automatic nucleus segmentation with mask-RCNN},
  author={Johnson, Jeremiah W},
  booktitle={Science and Information Conference},
  pages={399--407},
  year={2019},
  organization={Springer}
}

@article{nguyen2021evaluating,
  title={Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation},
  author={Nguyen, Cam and Asad, Zuhayr and Huo, Yuankai},
  journal={arXiv preprint arXiv:2108.11993},
  year={2021}
}

@article{yan2023self,
  title={Self Reinforcing Multi-class Transformer For Kidney Glomerular Basement Membrane Segmentation},
  author={Yan, Shaoshuai and Huang, Xiangsheng and Lian, Wei and Song, Caifang},
  journal={IEEE Access},
  year={2023},
  publisher={IEEE}
}

@inproceedings{gupta2018iterative,
  title={Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology},
  author={Gupta, Laxmi and Klinkhammer, Barbara Mara and Boor, Peter and Merhof, Dorit and Gadermayr, Michael},
  booktitle={International Conference on Medical Imaging with Deep Learning--Full Paper Track},
  year={2018}
}

@article{kannan2019segmentation,
  title={Segmentation of glomeruli within trichrome images using deep learning},
  author={Kannan, Shruti and Morgan, Laura A and Liang, Benjamin and Cheung, McKenzie G and Lin, Christopher Q and Mun, Dan and Nader, Ralph G and Belghasem, Mostafa E and Henderson, Joel M and Francis, Jean M and others},
  journal={Kidney international reports},
  volume={4},
  number={7},
  pages={955--962},
  year={2019},
  publisher={Elsevier}
}

@article{marechal2022automatic,
  title={Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples},
  author={Marechal, Elise and Jaugey, Adrien and Tarris, Georges and Paindavoine, Michel and Seibel, Jean and Martin, Laurent and de la Vega, Mathilde Funes and Crepin, Thomas and Ducloux, Didier and Zanetta, Gilbert and others},
  journal={Clinical Journal of the American Society of Nephrology},
  volume={17},
  number={2},
  pages={260--270},
  year={2022},
  publisher={Am Soc Nephrol}
}

@inproceedings{jing2022segmentation,
  title={Segmentation of Tumour Regions for Tubule Formation Assessment on Breast Cancer Histopathology Images},
  author={Jing, Tan Yee and Mustafa, Nazahah and Yazid, Haniza and Rahman, Khairul Shakir Ab},
  booktitle={Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications},
  pages={170--176},
  year={2022},
  organization={Springer}
}

@article{lin2022adversarial,
  title={Adversarial learning with data selection for cross-domain histopathological breast Cancer segmentation},
  author={Lin, Zhenrong and Li, Jidong and Yao, Qipeng and Shen, Haocheng and Wan, Lihang},
  journal={Multimedia Tools and Applications},
  volume={81},
  number={4},
  pages={5989--6008},
  year={2022},
  publisher={Springer}
}


@incollection{gonzalez2018multi,
  title={Multi-structure segmentation from partially labeled datasets. application to body composition measurements on ct scans},
  author={Gonz{\'a}lez, Germ{\'a}n and Washko, George R and San Jos{\'e} Est{\'e}par, Ra{\'u}l},
  booktitle={Image Analysis for Moving Organ, Breast, and Thoracic Images},
  pages={215--224},
  year={2018},
  publisher={Springer}
}


@article{bueno2020glomerulosclerosis,
  title={Glomerulosclerosis identification in whole slide images using semantic segmentation},
  author={Bueno, Gloria and Fernandez-Carrobles, M Milagro and Gonzalez-Lopez, Lucia and Deniz, Oscar},
  journal={Computer methods and programs in biomedicine},
  volume={184},
  pages={105273},
  year={2020},
  publisher={Elsevier}
}


@inproceedings{deng2023democratizing,
  title={Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning},
  author={Deng, Ruining and Li, Yanwei and Li, Peize and Wang, Jiacheng and Remedios, Lucas W and Agzamkhodjaev, Saydolimkhon and Asad, Zuhayr and Liu, Quan and Cui, Can and Wang, Yaohong and others},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={497--507},
  year={2023},
  organization={Springer}
}

@article{bankhead2017qupath,
  title={QuPath: Open source software for digital pathology image analysis},
  author={Bankhead, Peter and Loughrey, Maurice B and Fern{\'a}ndez, Jos{\'e} A and Dombrowski, Yvonne and McArt, Darragh G and Dunne, Philip D and McQuaid, Stephen and Gray, Ronan T and Murray, Liam J and Coleman, Helen G and others},
  journal={Scientific reports},
  volume={7},
  number={1},
  pages={1--7},
  year={2017},
  publisher={Nature Publishing Group}
}

@article{barisoni2013digital,
  title={Digital pathology evaluation in the multicenter Nephrotic Syndrome Study Network (NEPTUNE)},
  author={Barisoni, Laura and Nast, Cynthia C and Jennette, J Charles and Hodgin, Jeffrey B and Herzenberg, Andrew M and Lemley, Kevin V and Conway, Catherine M and Kopp, Jeffrey B and Kretzler, Matthias and Lienczewski, Christa and others},
  journal={Clinical Journal of the American Society of Nephrology},
  volume={8},
  number={8},
  pages={1449--1459},
  year={2013},
  publisher={Am Soc Nephrol}
}

@InProceedings{Li_2022_CVPR,
    author    = {Li, Liulei and Zhou, Tianfei and Wang, Wenguan and Li, Jianwu and Yang, Yi},
    title     = {Deep Hierarchical Semantic Segmentation},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {1246-1257}
}

@inproceedings{chen2022scaling,
    author    = {Chen, Richard J. and Chen, Chengkuan and Li, Yicong and Chen, Tiffany Y. and Trister, Andrew D. and Krishnan, Rahul G. and Mahmood, Faisal},
    title     = {Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {16144-16155}
}

@inproceedings{ke2022hsg,
title={Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers},
author={Ke, Tsung-Wei and Hwang, Jyh-Jing and Guo, Yunhui and Wang, Xudong and Yu, Stella X.},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={},
year={2022}
}