% Stat Liver Cancer


@article{Global_Cancer_Stat,
	title = {Global cancer statistics 2018: {GLOBOCAN} estimates of incidence and mortality worldwide for 36 cancers in 185 countries},
	volume = {68},
	issn = {1542-4863},
	shorttitle = {Global cancer statistics 2018},
	doi = {10.3322/caac.21492},
	language = {eng},
	number = {6},
	journal = {CA: a cancer journal for clinicians},
	author = {Bray, Freddie and Ferlay, Jacques and Soerjomataram, Isabelle and Siegel, Rebecca L. and Torre, Lindsey A. and Jemal, Ahmedin},
	month = nov,
	year = {2018},
	pmid = {30207593},
	pages = {394--424},
}


@article{Stat_Liver,
	title = {Biomarkers, {Biocatalysts}, or {Pathology} {Conditions} to {Evaluate} {Potential} {History} of {Liver} {Disease} such as {Cancer}},
	volume = {11},
	issn = {2278-0513},
	doi = {10.51847/caGjAHyB9E},
	language = {en},
	number = {6-2022},
	urldate = {2024-07-12},
	journal = {Clinical Cancer Investigation Journal},
	author = {Tolou-Ghamari, Zahra and Palizban, Abbas-Ali},
	year = {2022},
	note = {Number: 6-2022},
	pages = {31--35},
}


@article{Liver_Cancer_Followup,
	title = {Hepatocellular carcinoma},
	volume = {391},
	issn = {1474-547X},
	doi = {10.1016/S0140-6736(18)30010-2},
	language = {eng},
	number = {10127},
	journal = {Lancet (London, England)},
	author = {Forner, Alejandro and Reig, María and Bruix, Jordi},
	month = mar,
	year = {2018},
	pmid = {29307467},
	pages = {1301--1314},
}


@article{RECIST,
	TITLE = {New response evaluation criteria in solid tumours: revised {RECIST} guideline (version 1.1)},
	VOLUME = {45},
	ISSN = {1879-0852},
	shorttitle = {New response evaluation criteria in solid tumours},
	doi = {10.1016/j.ejca.2008.10.026},
	language = {\Eng},
	number = {2},
	journal = {European Journal of Cancer (Oxford, England: 1990)},
	author = {Eisenhauer, E. A. and Therasse, P. and Bogaerts, J. and Schwartz, L. H. and Sargent, D. and Ford, R. and Dancey, J. and Arbuck, S. and Gwyther, S. and Mooney, M. and Rubinstein, L. and Shankar, L. and Dodd, L. and Kaplan, R. and Lacombe, D. and Verweij, J.},
	YEAR = {2009},
	PMID = {19097774},
	Pages = {228--247},
}







%---------------------------------------------------------------
% Lesion Tracking


@article{Lesion_Tracking_1,
	title = {Workflow-centred evaluation of an automatic lesion tracking software for chemotherapy monitoring by {CT}},
	volume = {22},
	issn = {1432-1084},
	doi = {10.1007/s00330-012-2545-8},
	language = {eng},
	number = {12},
	journal = {European Radiology},
	author = {Moltz, Jan Hendrik and D'Anastasi, Melvin and Kiessling, Andreas and Pinto dos Santos, Daniel and Schülke, Christoph and Peitgen, Heinz-Otto},
	month = dec,
	year = {2012},
	pmid = {22744620},
	pages = {2759--2767},
}


@inproceedings{Lesion_Tracking_2,
	address = {Nashville, TN, USA},
	title = {Deep {Lesion} {Tracker}: {Monitoring} {Lesions} in {4D} {Longitudinal} {Imaging} {Studies}},
	isbn = {978-1-66544-509-2},
	url = {https://ieeexplore.ieee.org/document/9578122/},
	doi = {10.1109/CVPR46437.2021.01491},
	language = {\Eng},
	urldate = {2024-03-06},
	booktitle = {2021 {IEEE}/{CVF} {Conference} on {Computer} {Vision} and {Pattern} {Recognition} ({CVPR})},
	publisher = {IEEE},
	author = {Cai, Jinzheng and Tang, Youbao and Yan, Ke and Harrison, Adam P. and Xiao, Jing and Lin, Gigin and Lu, Le},
	month = jun,
	year = {2021},
	pages = {15154--15164},
}


@inproceedings{Lesion_Tracking_3,
	title = {Whole-{Body} {Soft}-{Tissue} {Lesion} {Tracking} and {Segmentation} in {Longitudinal} {CT} {Imaging} {Studies}},
	url = {https://proceedings.mlr.press/v143/hering21a.html},
	language = {en},
	urldate = {2024-07-24},
	booktitle = {Proceedings of the {Fourth} {Conference} on {Medical} {Imaging} with {Deep} {Learning}},
	publisher = {PMLR},
	author = {Hering, Alessa and Peisen, Felix and Amaral, Teresa and Gatidis, Sergios and Eigentler, Thomas and Othman, Ahmed and Moltz, Jan Hendrik},
	month = aug,
	year = {2021},
	note = {ISSN: 2640-3498},
	pages = {312--326},
}


@inproceedings{Lesion_Tracker_4,
	address = {Cham},
	title = {Transformer {Lesion} {Tracker}},
	isbn = {978-3-031-16446-0},
	doi = {10.1007/978-3-031-16446-0_19},
	language = {en},
	booktitle = {Medical {Image} {Computing} and {Computer} {Assisted} {Intervention} – {MICCAI} 2022},
	publisher = {Springer Nature Switzerland},
	author = {Tang, Wen and Kang, Han and Zhang, Haoyue and Yu, Pengxin and Arnold, Corey W. and Zhang, Rongguo},
	editor = {Wang, Linwei and Dou, Qi and Fletcher, P. Thomas and Speidel, Stefanie and Li, Shuo},
	year = {2022},
	pages = {196--206},
}


@article{Longitudinal_Liver_Analysis_Complete,
	title = {Liver lesion changes analysis in longitudinal {CECT} scans by simultaneous deep learning voxel classification with {SimU}-{Net}},
	volume = {83},
	issn = {1361-8415},
	url = {https://www.sciencedirect.com/science/article/pii/S1361841522003036},
	doi = {10.1016/j.media.2022.102675},
	urldate = {2024-07-30},
	journal = {Medical Image Analysis},
	author = {Szeskin, Adi and Rochman, Shalom and Weiss, Snir and Lederman, Richard and Sosna, Jacob and Joskowicz, Leo},
	month = jan,
	year = {2023},
	keywords = {Abdominal contrast-enhanced CT scans, Liver lesion changes analysis, Liver lesions detection and segmentation, Longitudinal radiological evaluation, Simultaneous deep learning voxel classification},
	pages = {102675},
}



@article{Longitudinal_Complete_Adapt_To_Three_Brain,
	title = {Three scans are better than two for follow-up: {An} automatic method for finding missed and misidentified lesions in cross-sectional follow-up of oncology patients},
	volume = {176},
	issn = {0720-048X},
	shorttitle = {Three scans are better than two for follow-up},
	url = {https://www.sciencedirect.com/science/article/pii/S0720048X24002468},
	doi = {10.1016/j.ejrad.2024.111530},
	urldate = {2024-07-30},
	journal = {European Journal of Radiology},
	author = {Joskowicz, Leo and Di Veroli, Beniamin and Lederman, Richard and Shoshan, Yigal and Sosna, Jacob},
	month = jul,
	year = {2024},
	pages = {111530},
}

@article{Longitudinal_Complete_Brain,
	title = {Two is better than one: longitudinal detection and volumetric evaluation of brain metastases after {Stereotactic} {Radiosurgery} with a deep learning pipeline},
	volume = {166},
	issn = {1573-7373},
	shorttitle = {Two is better than one},
	url = {https://doi.org/10.1007/s11060-024-04580-y},
	doi = {10.1007/s11060-024-04580-y},
	language = {en},
	number = {3},
	urldate = {2024-07-30},
	journal = {Journal of Neuro-Oncology},
	author = {Hammer, Yonny and Najjar, Wenad and Kahanov, Lea and Joskowicz, Leo and Shoshan, Yigal},
	month = feb,
	year = {2024},
	keywords = {Brain metastases detection and segmentation, Longitudinal evaluation, Stereotactic radiosurgery evaluation, Volumetric brain metastases assessment},
	pages = {547--555},
}



@misc{MS_Lesions_1,
	title = {Self-supervised {Lesion} {Change} {Detection} and {Localisation} in {Longitudinal} {Multiple} {Sclerosis} {Brain} {Imaging}},
	url = {http://arxiv.org/abs/2106.00919},
	urldate = {2023-09-29},
	publisher = {arXiv},
	author = {To, Minh-Son and Sarno, Ian G. and Chong, Chee and Jenkinson, Mark and Carneiro, Gustavo},
	month = jun,
	year = {2021},
	note = {arXiv:2106.00919 [cs, eess]},
	keywords = {Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing},
}

@article{MS_Lesions_2,
	title = {Multi-view longitudinal {CNN} for multiple sclerosis lesion segmentation},
	volume = {65},
	issn = {0952-1976},
	url = {https://www.sciencedirect.com/science/article/pii/S0952197617301252},
	doi = {10.1016/j.engappai.2017.06.006},
	urldate = {2024-08-05},
	journal = {Engineering Applications of Artificial Intelligence},
	author = {Birenbaum, Ariel and Greenspan, Hayit},
	month = oct,
	year = {2017},
	keywords = {CNN, Longitudinal, Multiple Sclerosis, Segmentation},
	pages = {111--118},
}




@inproceedings{DiffWeighting,
	title = {Longitudinal {Segmentation} of {MS} {Lesions} via {Temporal} {Difference} {Weighting}},
	booktitle = {Medical {Image} {Computing} and {Computer} {Assisted} {Intervention} – {MICCAI} 2024 {Workshops}},
	publisher = {Springer Nature Switzerland},
	author = {Rokuss, Maximilian and Kirchhoff, Yannick and Roy, Saikat and Kovacs, Balint and Ulrich, Constantin and Wald, Tassilo and Zenk, Maximilian and Denner, Stefan and Isensee, Fabian and Vollmuth, Philipp and Kleesiek, Jens and Maier-Hein, Klaus},
	year = {2025},
	keywords = {Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing},
}

@inproceedings{RegistrationOurs,
	title = {{Registration} of {Longitudinal} {Liver} {Examinations} for {Tumor} {Progress} {Assessment}},
	booktitle = {Medical {Image} {Computing} and {Computer} {Assisted} {Intervention} – {MICCAI} 2024 {Workshops}},
	publisher = {Springer Nature Switzerland},
	author = {Yassine, Walid and Charachon, Martin and Hudelot, Céline and Ardon, Roberto},
	year = {2025},
}



@inproceedings{Label_Free_Lesions,
	title = {Label-{Free} {Liver} {Tumor} {Segmentation}},
	url = {https://openaccess.thecvf.com/content/CVPR2023/html/Hu_Label-Free_Liver_Tumor_Segmentation_CVPR_2023_paper.html},
	language = {en},
	urldate = {2024-07-10},
	author = {Hu, Qixin and Chen, Yixiong and Xiao, Junfei and Sun, Shuwen and Chen, Jieneng and Yuille, Alan L. and Zhou, Zongwei},
	year = {2023},
	pages = {7422--7432},
    publisher = {CVF Open Access},
}


@misc{LiTS,
	TITLE = {The {Liver} {Tumor} {Segmentation} {Benchmark} ({LiTS})},
	VOLUME = {84},
	JOURNAL = {Medical Image Analysis},
	AUTHOR = {Bilic, Patrick and Christ, Patrick and Li, Hongwei Bran and Vorontsov, Eugene and Ben-Cohen, Avi and Kaissis, Georgios and Szeskin, Adi and al},
	YEAR = {2022},
	PAGES = {102680},
}


@inproceedings{Diff_Tumor,
	title = {Towards {Generalizable} {Tumor} {Synthesis}},
	language = {en},
	urldate = {2024-07-29},
	author = {Chen, Qi and Chen, Xiaoxi and Song, Haorui and Xiong, Zhiwei and Yuille, Alan and Wei, Chen and Zhou, Zongwei},
	year = {2024},
	pages = {11147--11158},
	journal =  {CVPR2024}
}



@article{Survey_MS,
	title = {Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging},
	volume = {70},
	issn = {1879-0771},
	doi = {10.1016/j.compmedimag.2018.10.002},
	language = {eng},
	journal = {Computerized Medical Imaging and Graphics: The Official Journal of the Computerized Medical Imaging Society},
	author = {Danelakis, Antonios and Theoharis, Theoharis and Verganelakis, Dimitrios A.},
	year = {2018},
	pmid = {30326367},
	pages = {83--100},
}


@article{Review_MS,
	title = {Review of {Deep} {Learning} {Approaches} for the {Segmentation} of {Multiple} {Sclerosis} {Lesions} on {Brain} {MRI}},
	volume = {14},
	issn = {1662-5196},
	url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714963/},
	doi = {10.3389/fninf.2020.610967},
	urldate = {2025-01-23},
	journal = {Frontiers in Neuroinformatics},
	author = {Zeng, Chenyi and Gu, Lin and Liu, Zhenzhong and Zhao, Shen},
	year = {2020},
	pmid = {33328949},
	pmcid = {PMC7714963},
	pages = {610967},
}


@article{MS_Combining,
	title = {{Combining} unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions},
	volume = {31},
	issn = {2213-1582},
	doi = {10.1016/j.nicl.2021.102707},
	language = {eng},
	journal = {NeuroImage. Clinical},
	author = {Rakić, Mladen and Vercruyssen, Sophie and Van Eyndhoven, Simon and de la Rosa, Ezequiel and Jain, Saurabh and Van Huffel, Sabine and Maes, Frederik and Smeets, Dirk and Sima, Diana M.},
	year = {2021},
	pmid = {34111718},
	pmcid = {PMC8193144},
	pages = {102707},
}

@article{MS_2d,
  title={Multi-view longitudinal CNN for multiple sclerosis lesion segmentation},
  author={Ariel Birenbaum and Hayit Greenspan},
  journal={Eng. Appl. Artif. Intell.},
  year={2017},
  volume={65},
  pages={111-118},
  url={https://api.semanticscholar.org/CorpusID:39196496}
}


@inproceedings{MS_25d,
	address = {Cham},
	title = {Spatio-{Temporal} {Learning} from {Longitudinal} {Data} for {Multiple} {Sclerosis} {Lesion} {Segmentation}},
	isbn = {978-3-030-72084-1},
	doi = {10.1007/978-3-030-72084-1_11},
	language = {en},
	booktitle = {Brainlesion: {Glioma}, {Multiple} {Sclerosis}, {Stroke} and {Traumatic} {Brain} {Injuries}},
	publisher = {Springer International Publishing},
	author = {Denner, Stefan and Khakzar, Ashkan and Sajid, Moiz and Saleh, Mahdi and Spiclin, Ziga and Kim, Seong Tae and Navab, Nassir},
	editor = {Crimi, Alessandro and Bakas, Spyridon},
	year = {2021},
	keywords = {Longitudinal analysis, MS lesion segmentation},
	pages = {111--121},
}


@incollection{Heterogenous_Data,
	address = {Cham},
	title = {{CoactSeg}: {Learning} from {Heterogeneous} {Data} for {New} {Multiple} {Sclerosis} {Lesion} {Segmentation}},
	volume = {14227},
	isbn = {978-3-031-43992-6 978-3-031-43993-3},
	shorttitle = {{CoactSeg}},
	url = {https://link.springer.com/10.1007/978-3-031-43993-3_1},
	language = {en},
	urldate = {2025-01-23},
	booktitle = {Medical {Image} {Computing} and {Computer} {Assisted} {Intervention} – {MICCAI} 2023},
	publisher = {Springer Nature Switzerland},
	author = {Wu, Yicheng and Wu, Zhonghua and Shi, Hengcan and Picker, Bjoern and Chong, Winston and Cai, Jianfei},
	editor = {Greenspan, Hayit and Madabhushi, Anant and Mousavi, Parvin and Salcudean, Septimiu and Duncan, James and Syeda-Mahmood, Tanveer and Taylor, Russell},
	year = {2023},
	doi = {10.1007/978-3-031-43993-3_1},
	note = {Series Title: Lecture Notes in Computer Science},
	pages = {3--13},
}


@article{FreeMask_Argument_Need_Noisy_Filtering,
	title = {{FreeMask}: {Synthetic} {Images} with {Dense} {Annotations} {Make} {Stronger} {Segmentation} {Models}},
	volume = {36},
	shorttitle = {{FreeMask}},
	url = {https://proceedings.neurips.cc/paper_files/paper/2023/hash/3ba7560b4c3e66d760fbdd472cf4a5a9-Abstract-Conference.html},
	language = {en},
	urldate = {2024-07-29},
	journal = {Advances in Neural Information Processing Systems},
	author = {Yang, Lihe and Xu, Xiaogang and Kang, Bingyi and Shi, Yinghuan and Zhao, Hengshuang},
	month = dec,
	year = {2023},
	pages = {18659--18675},
}

@article{R2Unet,
  title={Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation},
  author={Md. Zahangir Alom and Mahmudul Hasan and Chris Yakopcic and Tarek M. Taha and Vijayan K. Asari},
  journal={ArXiv},
  year={2018},
  volume={abs/1802.06955},
  url={https://api.semanticscholar.org/CorpusID:3573942}
}


% Rebuttal


@article{Survey_Remote_Sensing,
	title = {A {Review} of {Deep}-{Learning} {Methods} for {Change} {Detection} in {Multispectral} {Remote} {Sensing} {Images}},
	volume = {15},
	copyright = {http://creativecommons.org/licenses/by/3.0/},
	issn = {2072-4292},
	url = {https://www.mdpi.com/2072-4292/15/8/2092},
	doi = {10.3390/rs15082092},
	language = {en},
	number = {8},
	urldate = {2023-11-04},
	journal = {Remote Sensing},
	author = {Parelius, Eleonora Jonasova},
	month = jan,
	year = {2023},
	note = {Number: 8
Publisher: Multidisciplinary Digital Publishing Institute},
	keywords = {change detection, deep learning, multispectral imaging, optical imaging, remote sensing},
	pages = {2092},
}
