@article{isensee2021nnu,
  title={nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
  author={Isensee, Fabian and Jaeger, Paul F and Kohl, Simon AA and Petersen, Jens and Maier-Hein, Klaus H},
  journal={Nature methods},
  volume={18},
  number={2},
  pages={203--211},
  year={2021},
  publisher={Nature Publishing Group}
}

@software{the_monai_consortium_2020_4323059,
	author = {The MONAI Consortium},
	doi = {10.5281/zenodo.4323059},
	month = dec,
	publisher = {Zenodo},
	title = {Project MONAI},
	url = {https://doi.org/10.5281/zenodo.4323059},
	year = 2020,
	Bdsk-Url-1 = {https://doi.org/10.5281/zenodo.4323059}}

@article{gonzalez2023lifelong,
  title={Lifelong nnU-Net: a framework for standardized medical continual learning},
  author={Gonz{\'a}lez, Camila and Ranem, Amin and Pinto dos Santos, Daniel and Othman, Ahmed and Mukhopadhyay, Anirban},
  journal={Scientific Reports},
  volume={13},
  number={1},
  pages={9381},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@inproceedings{chaudhry2018riemannian,
  title={Riemannian walk for incremental learning: Understanding forgetting and intransigence},
  author={Chaudhry, Arslan and Dokania, Puneet K and Ajanthan, Thalaiyasingam and Torr, Philip HS},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  pages={532--547},
  year={2018}
}

@article{kirkpatrick2017overcoming,
  title={Overcoming catastrophic forgetting in neural networks},
  author={Kirkpatrick, James and Pascanu, Razvan and Rabinowitz, Neil and Veness, Joel and Desjardins, Guillaume and Rusu, Andrei A and Milan, Kieran and Quan, John and Ramalho, Tiago and Grabska-Barwinska, Agnieszka and others},
  journal={Proceedings of the national academy of sciences},
  volume={114},
  number={13},
  pages={3521--3526},
  year={2017},
  publisher={National Acad Sciences}
}

@article{perez2021torchio,
  title={TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning},
  author={P{\'e}rez-Garc{\'\i}a, Fernando and Sparks, Rachel and Ourselin, S{\'e}bastien},
  journal={Computer Methods and Programs in Biomedicine},
  volume={208},
  pages={106236},
  year={2021},
  publisher={Elsevier}
}

% rehearsal / privacy related literature
@article{smith2022closer,
  title={A Closer Look at Rehearsal-Free Continual Learning},
  author={Smith, James Seale and Tian, Junjiao and Hsu, Yen-Chang and Kira, Zsolt},
  journal={arXiv preprint arXiv:2203.17269},
  year={2022}
}

@inproceedings{verwimp2021rehearsal,
  title={Rehearsal revealed: The limits and merits of revisiting samples in continual learning},
  author={Verwimp, Eli and De Lange, Matthias and Tuytelaars, Tinne},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={9385--9394},
  year={2021}
}

@article{aljundi2019gradient,
  title={Gradient based sample selection for online continual learning},
  author={Aljundi, Rahaf and Lin, Min and Goujaud, Baptiste and Bengio, Yoshua},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@inproceedings{bang2021rainbow,
  title={Rainbow memory: Continual learning with a memory of diverse samples},
  author={Bang, Jihwan and Kim, Heesu and Yoo, YoungJoon and Ha, Jung-Woo and Choi, Jonghyun},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8218--8227},
  year={2021}
}

@article{chaudhry2018efficient,
  title={Efficient lifelong learning with a-gem},
  author={Chaudhry, Arslan and Ranzato, Marc'Aurelio and Rohrbach, Marcus and Elhoseiny, Mohamed},
  journal={arXiv preprint arXiv:1812.00420},
  year={2018}
}

@inproceedings{kemker2018measuring,
  title={Measuring catastrophic forgetting in neural networks},
  author={Kemker, Ronald and McClure, Marc and Abitino, Angelina and Hayes, Tyler and Kanan, Christopher},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={32},
  year={2018}
}

@article{lopez2017gradient,
  title={Gradient episodic memory for continual learning},
  author={Lopez-Paz, David and Ranzato, Marc'Aurelio},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{rebuffi2017icarl,
  title={icarl: Incremental classifier and representation learning},
  author={Rebuffi, Sylvestre-Alvise and Kolesnikov, Alexander and Sperl, Georg and Lampert, Christoph H},
  booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
  pages={2001--2010},
  year={2017}
}

@article{robins1995catastrophic,
  title={Catastrophic forgetting, rehearsal and pseudorehearsal},
  author={Robins, Anthony},
  journal={Connection Science},
  volume={7},
  number={2},
  pages={123--146},
  year={1995},
  publisher={Taylor \& Francis}
}

@inproceedings{liu2020saml,
	title={Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains},
	author={Liu, Quande and Dou, Qi and Heng, Pheng Ann},
	booktitle={International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
	year={2020}
}

@article{liu2020ms,
	title={Ms-net: Multi-site network for improving prostate segmentation with heterogeneous mri data},
	author={Liu, Quande and Dou, Qi and Yu, Lequan and Heng, Pheng Ann},
	journal={IEEE Transactions on Medical Imaging},
	year={2020},
	publisher={IEEE}
}

@article{antonelli2021medical,
  title={The medical segmentation decathlon},
  author={Antonelli, Michela and Reinke, Annika and Bakas, Spyridon and Farahani, Keyvan and Landman, Bennett A and Litjens, Geert and Menze, Bjoern and Ronneberger, Olaf and Summers, Ronald M and van Ginneken, Bram and others},
  journal={arXiv preprint arXiv:2106.05735},
  year={2021}
}

% BWT and FWT
@inproceedings{diaz2018don,
  title={Don't forget, there is more than forgetting: new metrics for Continual Learning},
  author={D{\'\i}az-Rodr{\'\i}guez, Natalia and Lomonaco, Vincenzo and Filliat, David and Maltoni, Davide},
  booktitle={Workshop on Continual Learning, NeurIPS 2018 (Neural Information Processing Systems},
  year={2018}
}

% Related Work
@incollection{rohlfing2005quo,
  title={Quo vadis, atlas-based segmentation?},
  author={Rohlfing, Torsten and Brandt, Robert and Menzel, Randolf and Russakoff, Daniel B and Maurer, Calvin R},
  booktitle={Handbook of biomedical image analysis},
  pages={435--486},
  year={2005},
  publisher={Springer}
}

@article{eskandari2021automated,
  title={Automated Atlas-Based Segmentation of Breast Region in 3-D Magnetic Resonance Imaging (MRI) Using FCM Method},
  author={Eskandari, Parinaz and Shokouhi, Shahriar Baradaran and others},
  journal={International Journal of Electrical and Computer Sciences (IJECS)},
  volume={3},
  number={1},
  pages={28--34},
  year={2021}
}

@article{gyHorfi2021fully,
  title={A fully automatic procedure for brain tumor segmentation from multi-spectral MRI records using ensemble learning and atlas-based data enhancement},
  author={Gy{\H{o}}rfi, {\'A}gnes and Szil{\'a}gyi, L{\'a}szl{\'o} and Kov{\'a}cs, Levente},
  journal={Applied Sciences},
  volume={11},
  number={2},
  pages={564},
  year={2021},
  publisher={MDPI}
}

@article{ghosh2021multi,
  title={Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI},
  author={Ghosh, Tarun Kanti and Hasan, Md Kamrul and Roy, Shidhartho and Alam, Md Ashraful and Hossain, Eklas and Ahmad, Mohiuddin},
  journal={IEEE Access},
  volume={9},
  pages={66948--66964},
  year={2021},
  publisher={IEEE}
}

@article{vicory2022toward,
  title={Toward automatic atlas-based surgical planning for septoplasty},
  author={Vicory, Jared and Garcia, Guilherme JM and Rhee, John S and Enquobahrie, Andinet},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  volume={17},
  number={2},
  pages={403--411},
  year={2022},
  publisher={Springer}
}

@article{aoyama2021comparison,
  title={Comparison of atlas-based auto-segmentation accuracy for radiotherapy in prostate cancer},
  author={Aoyama, Takahiro and Shimizu, Hidetoshi and Kitagawa, Tomoki and Yokoi, Kazushi and Koide, Yutaro and Tachibana, Hiroyuki and Suzuki, Kojiro and Kodaira, Takeshi},
  journal={Physics and Imaging in Radiation Oncology},
  volume={19},
  pages={126--130},
  year={2021},
  publisher={Elsevier}
}

@article{isgum2009multi,
  title={Multi-atlas-based segmentation with local decision fusion—application to cardiac and aortic segmentation in CT scans},
  author={Isgum, Ivana and Staring, Marius and Rutten, Annemarieke and Prokop, Mathias and Viergever, Max A and Van Ginneken, Bram},
  journal={IEEE transactions on medical imaging},
  volume={28},
  number={7},
  pages={1000--1010},
  year={2009},
  publisher={IEEE}
}

@article{cabezas2011review,
  title={A review of atlas-based segmentation for magnetic resonance brain images},
  author={Cabezas, Mariano and Oliver, Arnau and Llad{\'o}, Xavier and Freixenet, Jordi and Cuadra, Meritxell Bach},
  journal={Computer methods and programs in biomedicine},
  volume={104},
  number={3},
  pages={e158--e177},
  year={2011},
  publisher={Elsevier}
}

@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}
}

@inproceedings{maracani2021recall,
  title={Recall: Replay-based continual learning in semantic segmentation},
  author={Maracani, Andrea and Michieli, Umberto and Toldo, Marco and Zanuttigh, Pietro},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={7026--7035},
  year={2021}
}

@article{baweja2018towards,
  title={Towards continual learning in medical imaging},
  author={Baweja, Chaitanya and Glocker, Ben and Kamnitsas, Konstantinos},
  journal={arXiv preprint arXiv:1811.02496},
  year={2018}
}

@article{gonzalez2020wrong,
  title={What is Wrong with Continual Learning in Medical Image Segmentation?},
  author={Gonzalez, Camila and Sakas, Georgios and Mukhopadhyay, Anirban},
  journal={arXiv preprint arXiv:2010.11008},
  year={2020}
}

@inproceedings{gonzalez2022task,
  title={Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts},
  author={Gonz{\'a}lez, Camila and Ranem, Amin and Othman, Ahmed and Mukhopadhyay, Anirban},
  booktitle={MICCAI Workshop on Domain Adaptation and Representation Transfer},
  pages={108--118},
  year={2022},
  organization={Springer}
}

@inproceedings{ranem2022continual,
  title={Continual Hippocampus Segmentation with Transformers},
  author={Ranem, Amin and Gonz{\'a}lez, Camila and Mukhopadhyay, Anirban},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3711--3720},
  year={2022}
}

@article{perkonigg2021dynamic,
  title={Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging},
  author={Perkonigg, Matthias and Hofmanninger, Johannes and Herold, Christian J and Brink, James A and Pianykh, Oleg and Prosch, Helmut and Langs, Georg},
  journal={Nature Communications},
  volume={12},
  number={1},
  pages={1--12},
  year={2021},
  publisher={Nature Publishing Group}
}

@incollection{srivastava2021continual,
  title={Continual domain incremental learning for chest x-ray classification in low-resource clinical settings},
  author={Srivastava, Shikhar and Yaqub, Mohammad and Nandakumar, Karthik and Ge, Zongyuan and Mahapatra, Dwarikanath},
  booktitle={Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health},
  pages={226--238},
  year={2021},
  publisher={Springer}
}

@article{boccardi2015training,
  title={Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol},
  author={Boccardi, Marina and Bocchetta, Martina and Morency, F{\'e}lix C and Collins, D Louis and Nishikawa, Masami and Ganzola, Rossana and Grothe, Michel J and Wolf, Dominik and Redolfi, Alberto and Pievani, Michela and others},
  journal={Alzheimer's \& Dementia},
  volume={11},
  number={2},
  pages={175--183},
  year={2015},
  publisher={Wiley Online Library}
}

@article{hadsell2020embracing,
  title={Embracing change: Continual learning in deep neural networks},
  author={Hadsell, Raia and Rao, Dushyant and Rusu, Andrei A and Pascanu, Razvan},
  journal={Trends in cognitive sciences},
  volume={24},
  number={12},
  pages={1028--1040},
  year={2020},
  publisher={Elsevier}
}

@article{carmo2021hippocampus,
  title={Hippocampus segmentation on epilepsy and Alzheimer's disease studies with multiple convolutional neural networks},
  author={Carmo, Diedre and Silva, Bruna and Yasuda, Clarissa and Rittner, Let{\'\i}cia and Lotufo, Roberto and Alzheimer's Disease Neuroimaging Initiative and others},
  journal={Heliyon},
  volume={7},
  number={2},
  pages={e06226},
  year={2021},
  publisher={Elsevier}
}

@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

@article{kirillov2023segment,
  title={Segment anything},
  author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C and Lo, Wan-Yen and others},
  journal={arXiv preprint arXiv:2304.02643},
  year={2023}
}

@article{kulaga2015multi,
  title={Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset},
  author={Kulaga-Yoskovitz, Jessie and Bernhardt, Boris C and Hong, Seok-Jun and Mansi, Tommaso and Liang, Kevin E and Van Der Kouwe, Andre JW and Smallwood, Jonathan and Bernasconi, Andrea and Bernasconi, Neda},
  journal={Scientific Data},
  volume={2},
  number={1},
  pages={1--9},
  year={2015},
  publisher={Nature Publishing Group}
}

% Introduction & Abstract
@article{de2021continual,
  title={A continual learning survey: Defying forgetting in classification tasks},
  author={De Lange, Matthias and Aljundi, Rahaf and Masana, Marc and Parisot, Sarah and Jia, Xu and Leonardis, Ale{\v{s}} and Slabaugh, Gregory and Tuytelaars, Tinne},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={44},
  number={7},
  pages={3366--3385},
  year={2021},
  publisher={IEEE}
}

@inproceedings{douillard2021plop,
  title={Plop: Learning without forgetting for continual semantic segmentation},
  author={Douillard, Arthur and Chen, Yifu and Dapogny, Arnaud and Cord, Matthieu},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4040--4050},
  year={2021}
}

@inproceedings{cermelli2020modeling,
  title={Modeling the background for incremental learning in semantic segmentation},
  author={Cermelli, Fabio and Mancini, Massimiliano and Bulo, Samuel Rota and Ricci, Elisa and Caputo, Barbara},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9233--9242},
  year={2020}
}

@inproceedings{prabhu2020gdumb,
  title={Gdumb: A simple approach that questions our progress in continual learning},
  author={Prabhu, Ameya and Torr, Philip HS and Dokania, Puneet K},
  booktitle={European conference on computer vision},
  pages={524--540},
  year={2020},
  organization={Springer}
}

@article{aljundi2019online,
  title={Online continual learning with maximal interfered retrieval},
  author={Aljundi, Rahaf and Belilovsky, Eugene and Tuytelaars, Tinne and Charlin, Laurent and Caccia, Massimo and Lin, Min and Page-Caccia, Lucas},
  journal={NeurIPS},
  volume={32},
  year={2019}
}

@article{jin2021gradient,
  title={Gradient-based Editing of Memory Examples for Online Task-free Continual Learning},
  author={Jin, Xisen and Sadhu, Arka and Du, Junyi and Ren, Xiang},
  journal={NeurIPS},
  volume={34},
  year={2021}
}

@article{tempany2018role,
  title={The role of magnetic resonance imaging in prostate cancer},
  author={Tempany, Clare MC and Carroll, Peter R and Leapman, Michael S and Lee, W Robert and Savarese, Diane MF},
  journal={UpToDate. Waltham (MA): UpToDate},
  year={2018}
}

@inproceedings{sanner2021reliable,
  title={How reliable are out-of-distribution generalization methods for medical image segmentation?},
  author={Sanner, Antoine and Gonzalez, Camila and Mukhopadhyay, Anirban},
  booktitle={DAGM German Conference on Pattern Recognition},
  pages={604--617},
  year={2021},
  organization={Springer}
}

@article{perez-garcia_torchio_2021,
   title = {TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning},
   journal = {Computer Methods and Programs in Biomedicine},
   pages = {106236},
   year = {2021},
   issn = {0169-2607},
   doi = {https://doi.org/10.1016/j.cmpb.2021.106236},
   url = {https://www.sciencedirect.com/science/article/pii/S0169260721003102},
   author = {P{\'e}rez-Garc{\'i}a, Fernando and Sparks, Rachel and Ourselin, S{\'e}bastien},
}

@article{hung2019compacting,
  title={Compacting, picking and growing for unforgetting continual learning},
  author={Hung, Ching-Yi and Tu, Cheng-Hao and Wu, Cheng-En and Chen, Chien-Hung and Chan, Yi-Ming and Chen, Chu-Song},
  journal={Advances in Neural Information Processing Systems},
  volume={32},
  year={2019}
}

@inproceedings{lorenzo2002atlas,
  title={Atlas-based segmentation and tracking of 3D cardiac MR images using non-rigid registration},
  author={Lorenzo-Vald{\'e}s, Maria and Sanchez-Ortiz, Gerardo I and Mohiaddin, Raad and Rueckert, Daniel},
  booktitle={International conference on medical image computing and computer-assisted intervention},
  pages={642--650},
  year={2002},
  organization={Springer}
}

@article{aljabar2009multi,
  title={Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy},
  author={Aljabar, Paul and Heckemann, Rolf A and Hammers, Alexander and Hajnal, Joseph V and Rueckert, Daniel},
  journal={Neuroimage},
  volume={46},
  number={3},
  pages={726--738},
  year={2009},
  publisher={Elsevier}
}

@article{laschkar2022zonal,
  title={Zonal anatomy of the prostate using magnetic resonance imaging, morphometrics, and radiomic features: impact of age-related changes},
  author={Laschkar, Sophie and Montagne, Sarah and De Kerviler, Eric and Roupret, Morgan and Lucidarme, Olivier and Cussenot, Olivier and Renard Penna, Raphaele},
  journal={The British Journal of Radiology},
  volume={95},
  number={1131},
  pages={20210156},
  year={2022},
  publisher={The British Institute of Radiology.}
}

@article{scherer2020joint,
  title={Joint imaging platform for federated clinical data analytics},
  author={Scherer, Jonas and Nolden, Marco and Kleesiek, Jens and Metzger, Jasmin and Kades, Klaus and Schneider, Verena and Bach, Michael and Sedlaczek, Oliver and Bucher, Andreas M and Vogl, Thomas J and others},
  journal={JCO clinical cancer informatics},
  volume={4},
  pages={1027--1038},
  year={2020},
  publisher={American Society of Clinical Oncology}
}

@article{rampoldt2020evaluation,
  title={Evaluation of Multiparametric MRI of the Prostate: Impact of Standardized Examination Protocols and the Endorectal Coil},
  author={Rampoldt, Finn and Huebner, Frank and Zangos, Stephan and Bucher, Andreas and Scholtz, Jan-Erik and Kaup, Moritz and Fischer, Sebastian and Vogl, Thomas J and Bodelle, Boris},
  journal={Open Journal of Medical Imaging},
  volume={10},
  number={1},
  pages={30--41},
  year={2020},
  publisher={Scientific Research Publishing}
}

@article{lee2022prostate,
  title={Prostate MRI: Is Endorectal Coil Necessary?—A Review},
  author={Lee, Grace and Oto, Aytekin and Giurcanu, Mihai},
  journal={Life},
  volume={12},
  number={4},
  pages={569},
  year={2022},
  publisher={MDPI}
}

@article{barth2018diagnostic,
  title={Diagnostic accuracy of a MR protocol acquired with and without endorectal coil for detection of prostate cancer: a multicenter study},
  author={Barth, Borna K and Rupp, Niels J and Cornelius, Alexander and Nanz, Daniel and Grobholz, Rainer and Schmidtpeter, Martin and Wild, Peter J and Eberli, Daniel and Donati, Olivio F},
  journal={Current urology},
  volume={12},
  number={2},
  pages={88--96},
  year={2018},
  publisher={Karger Publishers}
}

@inproceedings{ozgun2020importance,
  title={Importance driven continual learning for segmentation across domains},
  author={{\"O}zg{\"u}n, Sinan and Rickmann, Anne-Marie and Roy, Abhijit Guha and Wachinger, Christian},
  booktitle={International Workshop on Machine Learning in Medical Imaging},
  pages={423--433},
  year={2020},
  organization={Springer}
}

@incollection{memmel2021adversarial,
  title={Adversarial continual learning for multi-domain hippocampal segmentation},
  author={Memmel, Marius and Gonzalez, Camila and Mukhopadhyay, Anirban},
  booktitle={Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health},
  pages={35--45},
  year={2021},
  publisher={Springer}
}

@article{derakhshani2022lifelonger,
  title={LifeLonger: A Benchmark for Continual Disease Classification},
  author={Derakhshani, Mohammad Mahdi and Najdenkoska, Ivona and van Sonsbeek, Tom and Zhen, Xiantong and Mahapatra, Dwarikanath and Worring, Marcel and Snoek, Cees GM},
  year={2022},
  journal={-}
}

@inproceedings{hayes2020remind,
  title={Remind your neural network to prevent catastrophic forgetting},
  author={Hayes, Tyler L and Kafle, Kushal and Shrestha, Robik and Acharya, Manoj and Kanan, Christopher},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part VIII 16},
  pages={466--483},
  year={2020},
  organization={Springer}
}

@article{lemaitre2015computer,
  title={Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review},
  author={Lema{\^\i}tre, Guillaume and Mart{\'\i}, Robert and Freixenet, Jordi and Vilanova, Joan C and Walker, Paul M and Meriaudeau, Fabrice},
  journal={Computers in biology and medicine},
  volume={60},
  pages={8--31},
  year={2015},
  publisher={Elsevier}
}

@article{litjens2014evaluation,
  title={Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge},
  author={Litjens, Geert and Toth, Robert and Van De Ven, Wendy and Hoeks, Caroline and Kerkstra, Sjoerd and van Ginneken, Bram and Vincent, Graham and Guillard, Gwenael and Birbeck, Neil and Zhang, Jindang and others},
  journal={Medical image analysis},
  volume={18},
  number={2},
  pages={359--373},
  year={2014},
  publisher={Elsevier}
}

@article{NCI-ISBI,
  title={NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures},
  author={Bloch, Nicholas and Madabhushi, Anant and Huisman, Henkjan and others},
  journal={Medical image analysis},
  year={2015}
}

@article{ranem2023exploring,
  title={Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology},
  author={Ranem, Amin and Babendererde, Niklas and Fuchs, Moritz and Mukhopadhyay, Anirban},
  journal={arXiv preprint arXiv:2310.00504},
  year={2023}
}

@InProceedings{pmlr-v172-fuchs22a,
  title = 	 {Practical uncertainty quantification for brain tumor segmentation},
  author =       {Fuchs, Moritz and Gonz\'{a}lez, Camila and Mukhopadhyay, Anirban},
  booktitle = 	 {Proceedings of The 5th International Conference on Medical Imaging with Deep Learning},
  pages = 	 {407--422},
  year = 	 {2022},
  editor = 	 {Konukoglu, Ender and Menze, Bjoern and Venkataraman, Archana and Baumgartner, Christian and Dou, Qi and Albarqouni, Shadi},
  volume = 	 {172},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {06--08 Jul},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v172/fuchs22a/fuchs22a.pdf},
  url = 	 {https://proceedings.mlr.press/v172/fuchs22a.html}
}

@article{ma2023segment,
  title={Segment anything in medical images},
  author={Ma, Jun and Wang, Bo},
  journal={arXiv preprint arXiv:2304.12306},
  year={2023}
}

@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}
}