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Accurate and efficient 3D segmentation is essential for both clinical and research applications.
Efficient graph-based image segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
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Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults
Daniel S Marcus, Tracy H Wang, Jamie Parker, John G Csernansky, John C Morris, and Randy L Buckner · 2007
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Rationale and design for the defibrillators to reduce risk by magnetic resonance imaging evaluation (determine) trial
Alan H Kadish, David Bello, J Paul Finn, Robert O Bonow, Andi Schaechter, Haris Subacius, Christine Albert, James P Daubert, Carissa G Fonseca, and Jeffrey J Goldberger · 2009
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Generation of digital phantoms of cell nuclei and simulation of image formation in 3d image cytometry
David Svoboda, Michal Kozubek, and Stanislav Stejskal · 2009
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Supervoxel-based segmentation of mitochondria in em image stacks with learned shape features
Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Graham Knott, and Pascal Fua · 2011
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Generation of 3d digital phantoms of colon tissue
David Svoboda, Ondřej Homola, and Stanislav Stejskal · 2011
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Slic superpixels compared to state-of-the-art superpixel methods
Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Süsstrunk · 2012
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Annotated high-throughput microscopy image sets for validation
Vebjorn Ljosa, Katherine L Sokolnicki, and Anne E Carpenter · 2012
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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle, Lawrence Tarbox, and Fred Prior · 2013
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Segmented anisotropic sstem dataset of neural tissue
Stephan Gerhard, Jan Funke, Julien Martel, Albert Cardona, and Richard Fetter · 2013
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The medical imaging interaction toolkit: challenges and advances: 10 years of open-source development
Marco Nolden, Sascha Zelzer, Alexander Seitel, Diana Wald, Michael Müller, Alfred M Franz, Daniel Maleike, Markus Fangerau, Matthias Baumhauer, Lena Maier-Hein, et al · 2013
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The cranial anatomy of the neornithischian dinosaur thescelosaurus neglectus
Clint A Boyd · 2014
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Evaluation of prostate segmentation algorithms for mri: The promise12 challenge
Geert Litjens, Robert Toth, Wendy van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenael Guillard, Neil Birbeck, and et al. Zhang · 2014
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A new 2.5 d representation for lymph node detection using random sets of deep convolutional neural network observations
Holger R Roth, Le Lu, Ari Seff, Kevin M Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, and Ronald M Summers · 2014
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Data from lidc-idri, 2015
Armato III, Samuel G., Geoffrey McLennan, Luc Bidaut, Michael F. McNitt-Gray, Charles R. Meyer, Anthony P. Reeves, Binsheng Zhao, Denise R. Aberle, Claudia I. Henschke, and Eric A. et al. Hoffman · 2015
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Standardized evaluation system for left ventricular segmentation algorithms in 3d echocardiography
Olivier Bernard, Johan G Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, et al · 2015
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Nci-isbi 2013 challenge: Automated segmentation of prostate structures, 2015
N. Bloch, A. Madabhushi, H. Huisman, J. Freymann, J. Kirby, M. Grauer, A. Enquobahrie, C. Jaffe, L. Clarke, and K. Farahani · 2015
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2015 miccai multi-atlas labeling beyond the cranial vault workshop and challenge
Bennett Landman, Zhoubing Xu, Juan Eugenio Igelsias, Martin Styner, and et al · 2015
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Extra tree forests for sub-acute ischemic stroke lesion segmentation in mr sequences
Oskar Maier, Matthias Wilms, Janina von der Gablentz, Ulrike M. Krämer, Thomas F. Münte, and Heinz Handels · 2015
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The multimodal brain tumor image segmentation benchmark (BRATS)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, and et al · 2015
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Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, and Ronald M. Summers · 2015
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A radiomics model from joint fdg-pet and mri texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
Martin Vallières, Carolyn R Freeman, Sonia R Skamene, and Issam El Naqa · 2015
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Coffee-break lung ct collection with scan images reconstructed at multiple imaging parameters
Binsheng Zhao, Lawrence H Schwartz, Mark G Kris, and Gregory J Riely · 2015
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An evaluation of automatic coronary artery calcium scoring methods with cardiac ct using the orcascore framework
Jelmer M Wolterink, Tim Leiner, Bob D De Vos, Jean-Louis Coatrieux, B Michael Kelm, Satoshi Kondo, Rodrigo A Salgado, Rahil Shahzad, Huazhong Shu, Miranda Snoeren, et al · 2016
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Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, and Christos Davatzikos · 2017
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Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth Magrath, Adrian Gherman, Julia Button, James Nguyen, Ferran Prados, and et al. Sudre · 2017
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Spie-aapm prostatex challenge data, 2017
Geert Litjens, Oscar Debats, Jelle Barentsz, Nico Karssemeijer, and Henkjan Huisman · 2017
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Evaluation of segmentation methods on head and neck ct: auto-segmentation challenge 2015
Patrik F Raudaschl, Paolo Zaffino, Gregory C Sharp, Maria Francesca Spadea, Antong Chen, Benoit M Dawant, Thomas Albrecht, Tobias Gass, Christoph Langguth, Marcel Lüthi, et al · 2017
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Deeplesion: Automated deep mining, categorization and detection of significant radiology image findings using large-scale clinical lesion annotations, 2017
Ke Yan, Xiaosong Wang, Le Lu, and Ronald M. Summers · 2017
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Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: Is the problem solved?
Olivier Bernard, Alain Lalande, Clement Zotti, Frederick Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, and et al. Gonzalez Ballester · 2018
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Automatic multi-organ segmentation on abdominal ct with dense v-networks
Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian Davidson, Stephen P. Pereira, Matthew J. Clarkson, and Dean C. Barratt · 2018
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A large, open source dataset of stroke anatomical brain images and manual lesion segmentations
Sook-Lei Liew, Julia M Anglin, Nick W Banks, Matt Sondag, Kaori L Ito, Hosung Kim, Jennifer Chan, Joyce Ito, Connie Jung, Nima Khoshab, and at al · 2018
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Data from nsclc-radiomics, 2019
Hugo J. W. L. Aerts, Leonard Wee, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, Chintan Parmar, Patrick Grossmann, Sara Carvalho, Johan Bussink, Ren Monshouwer, Benjamin Haibe-Kains, Derek Rietveld, Frank Hoebers, Michelle M. Rietbergen, C. Ren Leemans, Andre Dekker, John Quackenbush, Robert J. Gillies, and Philippe Lambin · 2019
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Desikan-killiany-tourville atlas compatible version of m-crib neonatal parcellated whole brain atlas: The m-crib 2.0
Bonnie Alexander, Wai Yen Loh, Lillian G Matthews, Andrea L Murray, Chris Adamson, Richard Beare, Jian Chen, Claire E Kelly, Peter J Anderson, Lex W Doyle, et al · 2019
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Lung anatomy + particle deposition (lapd) mouse archive, 2019
Reinhard R Beichel, Robb W Glenny, Christian Bauer, and Melissa A Krueger · 2019
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Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in ct data for lung cancer staging
David Bouget, Arve Jørgensen, Gabriel Kiss, Haakon Olav Leira, and Thomas Langø · 2019
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Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda, Ashirbani Saha, and Maciej A Mazurowski · 2019
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Chaos - combined (ct-mr) healthy abdominal organ segmentation challenge data, 2019
Ali Emre Kavur, M. Alper Selver, Oguz Dicle, Mustafa Baris, and N. Sinem Gezer · 2019
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Data from the acrin 6685 trial hnscc-fdg-pet/ct
P. Kinahan, M. Muzi, B. Bialecki, and L. Coombs · 2019
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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge
Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, et al · 2019
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Segthor: Segmentation of thoracic organs at risk in ct images
Z. Lambert, C. Petitjean, B. Dubray, and S. Ruan · 2019
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Deep learning for segmentation using an open large-scale dataset in 2d echocardiography
Sarah Leclerc, Erik Smistad, Joao Pedrosa, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, et al · 2019
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CT-ORG: A dataset of CT volumes with multiple organ segmentations, 2019
Blaine Rister, Kaushik Shivakumar, Tomomi Nobashi, and Daniel L Rubin · 2019
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Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, and et al · 2019
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Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI
Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Daniel Rubin, and Greg Zaharchuk · 2020
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COVID-19 CT Lung and Infection Segmentation Dataset, 2020
Ma Jun, Ge Cheng, Wang Yixin, An Xingle, Gao Jiantao, Yu Ziqi, Zhang Minqing, Liu Xin, Deng Xueyuan, Cao Shucheng, Wei Hao, Mei Sen, Yang Xiaoyu, Nie Ziwei, Li Chen, Tian Lu, Zhu Yuntao, Zhu Qiongjie, Dong Guoqiang, and He Jian · 2020
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Plethora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest ct processing pipelines
Kendall J Kiser, Sara Ahmed, Sonja Stieb, Abdallah SR Mohamed, Hesham Elhalawani, Peter YS Park, Nathan S Doyle, Brandon J Wang, Arko Barman, Zhao Li, et al · 2020
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Emidec: a database usable for the automatic evaluation of myocardial infarction from delayed-enhancement cardiac mri
Alain Lalande, Zhihao Chen, Thomas Decourselle, Abdul Qayyum, Thibaut Pommier, Luc Lorgis, Ezequiel de La Rosa, Alexandre Cochet, Yves Cottin, Dominique Ginhac, et al · 2020
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A vertebral segmentation dataset with fracture grading
Maximilian T. Löffler, Anjany Sekuboyina, Alina Jacob, Anna-Lena Grau, Andreas Scharr, Malek El Husseini, Mareike Kallweit, Claus Zimmer, Thomas Baum, and Jan S. Kirschke · 2020
Cited alongside, same era.
Duke liver dataset (mri) v2, 2020
Jacob A. Macdonald, Zhe Zhu, Brandon Konkel, Maciej Mazurowski, Walter Wiggins, and Mustafa Bashir · 2020
Cited alongside, same era.
Detection, segmentation, simulation and visualization of aortic dissections: A review
Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A Holzapfel, and Jan Egger · 2020
Cited alongside, same era.
The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, and et al · 2021
Cited alongside, same era.
The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification
Ujjwal Baid, Satyam Ghodasara, Suyash Mohan, Michel Bilello, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C Kitamura, Sarthak Pati, and Spyridon et al · 2021
Comprehensive evaluation of a deep learning model for automatic organs-at-risk segmentation on heterogeneous computed tomography images for abdominal radiation therapy
Wenjun Liao, Xiangde Luo, Yuan He, Ye Dong, Churong Li, Kang Li, Shichuan Zhang, Shaoting Zhang, Guotai Wang, and Jianghong Xiao · 2023
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Pelvic fracture segmentation using a multi-scale distance-weighted neural network
Yanzhen Liu, Sutuke Yibulayimu, Yudi Sang, Gang Zhu, Yu Wang, Chunpeng Zhao, and Xinbao Wu · 2023
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Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, and YuanKe Pan ant et al · 2023
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Automatic organ and pan-cancer segmentation in abdomen ct: the flare 2023 challenge, 2024b
Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Ershuai Wang, Qin Zhou, Ziyan Huang, Pengju Lyu, Jian He, and Bo Wang · 2023
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Cited alongside, same era.
Multi-centre, multi-vendor and multi-disease cardiac segmentation: The mms challenge
Victor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martin-Isla, Alireza Sojoudi, Peter M. Full, Klaus Maier-Hein, Yao Zhang, Zhiqiang He, and et .al Ma · 2021
Cited alongside, same era.
Meta grayscale adaptive network for 3d integrated renal structures segmentation
Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, et al · 2021
Cited alongside, same era.
nnU-net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl, Jens Petersen, and Klaus H. Maier-Hein · 2021
Cited alongside, same era.
AI-based aortic vessel tree segmentation for cardiovascular diseases treatment: Status quo
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-Hua Zhao, Kelsey L Pomykala, Jens Kleesiek, Alejandro F Frangi, and Jan Egger · 2021
Cited alongside, same era.
A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data, 2021
Hans Liebl, David Schinz, Anjany Sekuboyina, Luca Malagutti, Maximilian T. Löffler, Amirhossein Bayat, Malek El Husseini, Giles Tetteh, Katharina Grau, and et al. Niederreiter · 2021
Cited alongside, same era.
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale , page 164–174
Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, and Hanspeter Pfister · 2021
Cited alongside, same era.
Multimodality annotated hcc cases with and without advanced imaging segmentation, 2021
Ahmed W. Moawad, David Fuentes, Ali Morshid, Ahmed M. Khalaf, Mohab M. Elmohr, Abdelrahman Abusaif, John D. Hazle, Ahmed O. Kaseb, Manal Hassan, Armeen Mahvash, Janio Szklaruk, Aliyya Qayyom, and Khaled Elsayes · 2021
Cited alongside, same era.
Deep learning segmentation of the right ventricle in cardiac mri: The mms challenge
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, and et al. Punithakumar · 2023
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The cell tracking challenge: 10 years of objective benchmarking
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez-de Mariscal, Tereza Nečasová, Fidel A Guerrero Peña, Tsang Ing Ren, Elliot M Meyerowitz, Tim Scherr, Katharina Löffler, et al · 2023
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Cervical cancer – tumor heterogeneity: Serial functional and molecular imaging across the radiation therapy course in advanced cervical cancer (version 1), 2023
N. Mayr, W. T. C. Yuh, S. Bowen, M. Harkenrider, M. V. Knopp, E. Y.-P. Lee, E. Leung, S. S. Lo, W. Small Jr., and A. H. Wolfson · 2023
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Voxel-level segmentation of pathologically-proven adrenocortical carcinoma with ki-67 expression (adrenal-acc-ki67-seg), 2023
Ahmed W. Moawad, Ayahallah A. Ahmed, Mohab ElMohr, Mohamed Eltaher, Mouhammed Amir Habra, Sarah Fisher, Nancy Perrier, Miao Zhang, David Fuentes, and Khaled Elsayes · 2023
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Han-seg: The head and neck organ-at-risk ct and mr segmentation dataset
Gašper Podobnik, Primož Strojan, Primož Peterlin, Bulat Ibragimov, and Tomaž Vrtovec · 2023
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A tumour and liver automatic segmentation (atlas) dataset on contrast-enhanced magnetic resonance imaging for hepatocellular carcinoma
Félix Quinton, Romain Popoff, Benoît Presles, Sarah Leclerc, Fabrice Meriaudeau, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Olivier Chevallier, Dominique Ginhac, et al · 2023
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Sam.md: Zero-shot medical image segmentation capabilities of the segment anything model, 2023
Saikat Roy, Tassilo Wald, Gregor Koehler, Maximilian R. Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, and Klaus H. Maier-Hein · 2023
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Preoperative ct and survival data for patients undergoing resection of colorectal liver metastases (colorectal-liver-metastases), 2023
Amber L. Simpson, Jacob Peoples, John M. Creasy, Gabor Fichtinger, Natalie Gangai, Andras Lasso, Krishna Nand Keshava Murthy, Jinru Shia, Michael I. D’Angelica, and Richard K. G. Do · 2023
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AeroPath: An airway segmentation benchmark dataset with challenging pathology, 2023
Karen-Helene Støverud, David Bouget, Andre Pedersen, Håkon Olav Leira, Thomas Langø, and Erlend Fagertun Hofstad · 2023
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Automated segmentation of insect anatomy from micro-ct images using deep learning
Evropi Toulkeridou, Carlos Enrique Gutierrez, Daniel Baum, Kenji Doya, and Evan P. Economo · 2023
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Multitalent: A multi-dataset approach to medical image segmentation
Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, and Klaus H. Maier-Hein · 2023
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Spider - lumbar spine segmentation in mr images: a dataset and a public benchmark, 2023
Jasper Willem van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, and Nikolas Lessmann · 2023
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Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images
Jakob Wasserthal, Hanns-Christian Breit, Manfred Meyer, Maurice Pradella, daniel Hinck, Alexander W. Sauter, Tobias Heye, Daniel T. Boll, Joshy Cyriac, Shan Yang, Michael Bach, and Martin Segeroth · 2023
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Lungvis1.0: Active learning ai-powered 3d imaging ecosystem for spatial profiling of lung geometry and pulmonary nanoparticle delivery, 2023
Lin Yang, Otmar Schmid, and Fabian Isensee · 2023
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Nis3d: A completely annotated benchmark for dense 3d nuclei image segmentation
Wei Zheng, Cheng Peng, Zeyuan Hou, Boyu Lyu, Mengfan Wang, Xuelong Mi, Shuoxuan Qiao, Yinan Wan, and Guoqiang Yu · 2023
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Touchstone benchmark: Are we on the right way for evaluating ai algorithms for medical segmentation?, 2024
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, and Zongwei Zhou · 2024
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Open access segmentations of intraoperative brain tumor ultrasound images
Bahareh Behboodi, Francois-xavier Carton, Matthieu Chabanas, Sandrine de Ribaupierre, Ole Solheim, Bodil KR Munkvold, Hassan Rivaz, Yiming Xiao, and Ingerid Reinertsen · 2024
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Totalsegmentator mri: Sequence-independent segmentation of 59 anatomical structures in mr images, 2024
Tugba Akinci D’Antonoli, Lucas K. Berger, Ashraya K. Indrakanti, Nathan Vishwanathan, Jakob Weiß, Matthias Jung, Zeynep Berkarda, Alexander Rau, Marco Reisert, Thomas Küstner, Alexandra Walter, Elmar M. Merkle, Martin Segeroth, Joshy Cyriac, Shan Yang, and Jakob Wasserthal · 2024
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MJJ de Grauw, E Th Scholten, EJ Smit, MJCM Rutten, M Prokop, B van Ginneken, and A Hering · 2024
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Lnq 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification, 2024
Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steve Pieper, Gordon Harris, Ron Kikinis, and Tina Kapur · 2024
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Ultrasound segmentation analysis via distinct and completed anatomical borders
Vanessa Gonzalez Duque, Alexandra Marquardt, Yordanka Velikova, Lilian Lacourpaille, Antoine Nordez, Marion Crouzier, Hong Joo Lee, Diana Mateus, and Nassir Navab · 2024
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Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwoździewicz, et al · 2024
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3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable tumor segmentation
Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, and Qi Dou · 2024
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Particleseg3d: a scalable out-of-the-box deep learning segmentation solution for individual particle characterization from micro ct images in mineral processing and recycling
Karol Gotkowski, Shuvam Gupta, Jose RA Godinho, Camila GS Tochtrop, Klaus H Maier-Hein, and Fabian Isensee · 2024
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Vista3d: Versatile imaging segmentation and annotation model for 3d computed tomography, 2024
Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie Harmon, Baris Turkbey, Daguang Xu, and Wenqi Li · 2024
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Cis-unet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention
Muhammad Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Brian Fazzone, Vishal Balaji Sivaraman, Amarjeet Kumar, Chelsea Viscardi, Robert Evans Heithaus, Benjamin Shickel, Yuyin Zhou, Michol A. Cooper, and Wei Shao · 2024
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nnu-net revisited: A call for rigorous validation in 3d medical image segmentation, 2024
Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus Maier-Hein, and Paul F. Jaeger · 2024
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3d whole body preclinical micro-ct database of subcutaneous tumors in mice with annotations from 3 annotators
Malte Jensen, Andreas Clemmensen, Jacob Gorm Hansen, Julie van Krimpen Mortensen, Emil N. Christensen, Andreas Kjaer, and Rasmus Sejersten Ripa · 2024
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Remind: The brain resection multimodal imaging database
Parikshit Juvekar, Reuben Dorent, Fryderyk Kögl, Erickson Torio, Colton Barr, Laura Rigolo, Colin Galvin, Nick Jowkar, Anees Kazi, Nazim Haouchine, Harneet Cheema, Nassir Navab, Steve Pieper, William M. Wells, Wenya Linda Bi, Alexandra Golby, Sarah Frisken, and Tina Kapur · 2024
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Mr brain segmentation challenge 2018 data
HJ Kuijf, E Bennink, KL Vincken, N Weaver, GJ Biessels, and MA Viergever · 2024
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Hvsmr-2.0: A 3d cardiovascular mr dataset for whole-heart segmentation in congenital heart disease
Danielle F Pace, Hannah TM Contreras, Jennifer Romanowicz, Shruti Ghelani, Imon Rahaman, Yue Zhang, Patricia Gao, Mohammad Imrul Jubair, Tom Yeh, Polina Golland, et al · 2024
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Spine metastatic bone cancer: pre and post radiotherapy ct (spine-mets-ct-seg) [dataset] (version 1), 2024
S. Pieper, N. Haouchine, D. B. Hackney, W. M. Wells, M. Sanhinova, T. Balboni, A. Spektor, M. Huynh, S. Tanguturi, E. Kim, J. P. Guenette, D. E. Kozono, B. Czajkowski, S. Caplan, P. Doyle, H. Kang, and R. N. Alkalay · 2024
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Sam 2: Segment anything in images and videos, 2024
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