Recalibrating 3D ConvNets With Project & Excite von Rickmann, Anne-Marie, Guha Roy, Abhijit, Sarasua, Ignacio, Wachinger, Christian

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Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks von Roy, Abhijit Guha, Navab, Nassir, Wachinger, Christian

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Concurrent Spatial and Channel `Squeeze & Excitation' in Fully Convolutional Networks von Roy, Abhijit Guha, Navab, Nassir, Wachinger, Christian

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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control von Roy, Abhijit Guha, Conjeti, Sailesh, Navab, Nassir, Wachinger, Christian

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‘Squeeze & excite’ guided few-shot segmentation of volumetric images von Guha Roy, Abhijit, Siddiqui, Shayan, Pölsterl, Sebastian, Navab, Nassir, Wachinger, Christian

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Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks von Roy, Abhijit Guha, Conjeti, Sailesh, Carlier, Stephane G., Dutta, Pranab K., Kastrati, Adnan, Laine, Andrew F., Navab, Nassir, Katouzian, Amin, Sheet, Debdoot

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ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks von Roy, Abhijit Guha, Conjeti, Sailesh, Karri, Sri Phani Krishna, Sheet, Debdoot, Katouzian, Amin, Wachinger, Christian, Navab, Nassir

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QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy von Guha Roy, Abhijit, Conjeti, Sailesh, Navab, Nassir, Wachinger, Christian

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Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions von Guha Roy, Abhijit, Ren, Jie, Azizi, Shekoofeh, Loh, Aaron, Natarajan, Vivek, Mustafa, Basil, Pawlowski, Nick, Freyberg, Jan, Liu, Yuan, Beaver, Zach, Vo, Nam, Bui, Peggy, Winter, Samantha, MacWilliams, Patricia, Corrado, Greg S., Telang, Umesh, Liu, Yun, Cemgil, Taylan, Karthikesalingam, Alan, Lakshminarayanan, Balaji, Winkens, Jim

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Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry von Dieckmeyer, Michael, Roy, Abhijit Guha, Senapati, Jyotirmay, Wachinger, Christian, Grundl, Lioba, Döpfert, Jörg, Bertran, Pere Ferrera, Lemke, Andreas, Zimmer, Claus, Kirschke, Jan S., Hedderich, Dennis M.

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Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling von Roy, Abhijit Guha, Conjeti, Sailesh, Navab, Nassir, Wachinger, Christian

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Generative models improve fairness of medical classifiers under distribution shifts von Ktena, Ira, Wiles, Olivia, Albuquerque, Isabela, Rebuffi, Sylvestre-Alvise, Tanno, Ryutaro, Roy, Abhijit Guha, Azizi, Shekoofeh, Belgrave, Danielle, Kohli, Pushmeet, Cemgil, Taylan, Karthikesalingam, Alan, Gowal, Sven

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Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging von Azizi, Shekoofeh, Culp, Laura, Freyberg, Jan, Mustafa, Basil, Baur, Sebastien, Kornblith, Simon, Chen, Ting, Tomasev, Nenad, Mitrović, Jovana, Strachan, Patricia, Mahdavi, S. Sara, Wulczyn, Ellery, Babenko, Boris, Walker, Megan, Loh, Aaron, Chen, Po-Hsuan Cameron, Liu, Yuan, Bavishi, Pinal, McKinney, Scott Mayer, Winkens, Jim, Roy, Abhijit Guha, Beaver, Zach, Ryan, Fiona, Krogue, Justin, Etemadi, Mozziyar, Telang, Umesh, Liu, Yun, Peng, Lily, Corrado, Greg S., Webster, Dale R., Fleet, David, Hinton, Geoffrey, Houlsby, Neil, Karthikesalingam, Alan, Norouzi, Mohammad, Natarajan, Vivek

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Recalibrating 3D ConvNets with Project & Excite von Rickmann, Anne-Marie, Abhijit Guha Roy, Sarasua, Ignacio, Wachinger, Christian

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Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization von Conjeti, Sailesh, Katouzian, Amin, Roy, Abhijit Guha, Peter, Loïc, Sheet, Debdoot, Carlier, Stéphane, Laine, Andrew, Navab, Nassir

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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data von Roy, Abhijit Guha, Conjeti, Sailesh, Sheet, Debdoot, Katouzian, Amin, Navab, Nassir, Wachinger, Christian

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3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation von Paschali, Magdalini, Gasperini, Stefano, Abhijit Guha Roy, Fang, Michael Y -S, Navab, Nassir

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3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation von Paschali, Magdalini, Gasperini, Stefano, Roy, Abhijit Guha, Fang, Michael Y.-S., Navab, Nassir

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Deep Learning on ^sup 18^F-FDG PET Imaging for Differential Diagnosis of Parkinsonian Syndromes von Wu, Ping, Roy, Abhijit Guha, Yakushev, Igor, Li, Rui, Conjeti, Sailesh, Ziegler, Sibylle, Wang, Jian, ster, Stefan, Navab, Nassir, Schwaiger, Markus, Huang, Sung-Cheng, Rominger, Axel, Zuo, Chuantao, Shi, Kuangyu

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Importance Driven Continual Learning for Segmentation Across Domains von Özgün, Sinan, Rickmann, Anne-Marie, Roy, Abhijit Guha, Wachinger, Christian

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