Search Results - "Dalca, Adrian V."

VoxelMorph: A Learning Framework for Deformable Medical Image Registration by Balakrishnan, Guha, Zhao, Amy, Sabuncu, Mert R., Guttag, John, Dalca, Adrian V.

“…We present VoxelMorph, a fast learning-based framework for deformable, pairwise medical image registration. Traditional registration methods optimize an…”
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SynthStrip: skull-stripping for any brain image by Hoopes, Andrew, Mora, Jocelyn S., Dalca, Adrian V., Fischl, Bruce, Hoffmann, Malte

“…•SynthStrip is a universal, learning-based skull-stripping utility.•Cutting-edge performance across imaging modality, resolution, and subject population.•Use…”
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Automated segmentation of the hypothalamus and associated subunits in brain MRI by Billot, Benjamin, Bocchetta, Martina, Todd, Emily, Dalca, Adrian V., Rohrer, Jonathan D., Iglesias, Juan Eugenio

“…•A publicly available deep learning tool to segment the hypothalamus and its subunits.•Our tool outperforms inter-rater accuracy and approaches intra-rater…”
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Cortical surface registration using unsupervised learning by Cheng, Jieyu, Dalca, Adrian V., Fischl, Bruce, Zöllei, Lilla

“…Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject…”
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Mapping the subcortical connectivity of the human default mode network by Li, Jian, Curley, William H., Guerin, Bastien, Dougherty, Darin D., Dalca, Adrian V., Fischl, Bruce, Horn, Andreas, Edlow, Brian L.

“…The default mode network (DMN) mediates self-awareness and introspection, core components of human consciousness. Therapies to restore consciousness in…”
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A robust and interpretable deep learning framework for multi-modal registration via keypoints by Wang, Alan Q., Yu, Evan M., Dalca, Adrian V., Sabuncu, Mert R.

“…We present KeyMorph, a deep learning-based image registration framework that relies on automatically detecting corresponding keypoints. State-of-the-art deep…”
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SHRiMP: accurate mapping of short color-space reads by Rumble, Stephen M, Lacroute, Phil, Dalca, Adrian V, Fiume, Marc, Sidow, Arend, Brudno, Michael

“…The development of Next Generation Sequencing technologies, capable of sequencing hundreds of millions of short reads (25-70 bp each) in a single run, is…”
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A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images by Greve, Douglas N., Billot, Benjamin, Cordero, Devani, Hoopes, Andrew, Hoffmann, Malte, Dalca, Adrian V., Fischl, Bruce, Iglesias, Juan Eugenio, Augustinack, Jean C.

“…A tool was developed to automatically segment several subcortical limbic structures (nucleus accumbens, basal forebrain, septal nuclei, hypothalamus without…”
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Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI by Bahadir, Cagla D., Wang, Alan Q., Dalca, Adrian V., Sabuncu, Mert R.

“…In compressed sensing MRI (CS-MRI), k-space measurements are under-sampled to achieve accelerated scan times. CS-MRI presents two fundamental problems: (1)…”
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Hyper-convolutions via implicit kernels for medical image analysis by Ma, Tianyu, Wang, Alan Q., Dalca, Adrian V., Sabuncu, Mert R.

“…The convolutional neural network (CNN) is one of the most commonly used architectures for computer vision tasks. The key building block of a CNN is the…”
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Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration by Mu, Emily, Jabbour, Sarah, Dalca, Adrian V, Guttag, John, Wiens, Jenna, Sjoding, Michael W

“…When hospitals are at capacity, accurate deterioration indices could help identify low-risk patients as potential candidates for home care programs and…”
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Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG by Sederevičius, Donatas, Vidal-Piñeiro, Didac, Sørensen, Øystein, van Leemput, Koen, Iglesias, Juan Eugenio, Dalca, Adrian V., Greve, Douglas N., Fischl, Bruce, Bjørnerud, Atle, Walhovd, Kristine B., Fjell, Anders M.

“…Accurate and reliable whole-brain segmentation is critical to longitudinal neuroimaging studies. We undertake a comparative analysis of two subcortical…”
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Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces by Dalca, Adrian V., Balakrishnan, Guha, Guttag, John, Sabuncu, Mert R.

“…•Principled connection between classical and learning-based registration methods.•Probabilistic generative model and resulting unsupervised learning-based…”
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White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype by Giese, Anne-Katrin, Schirmer, Markus D., Dalca, Adrian V., Sridharan, Ramesh, Donahue, Kathleen L., Nardin, Marco, Irie, Robert, McIntosh, Elissa C., Mocking, Steven J.T., Xu, Huichun, Cole, John W., Giralt-Steinhauer, Eva, Jimenez-Conde, Jordi, Jern, Christina, Kleindorfer, Dawn O., Lemmens, Robin, Wasselius, Johan, Lindgren, Arne, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Thijs, Vincent, Worrall, Bradford B., Woo, Daniel, Kittner, Steven J., McArdle, Patrick F., Mitchell, Braxton D., Rosand, Jonathan, Meschia, James F., Wu, Ona, Golland, Polina, Rost, Natalia S.

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Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements by Bouman, Katherine L., Johnson, Michael D., Dalca, Adrian V., Chael, Andrew A., Roelofs, Freek, Doeleman, Sheperd S., Freeman, William T.

“…Very long baseline interferometry (VLBI) makes it possible to recover the images of astronomical sources with extremely high angular resolution. Most recently,…”
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SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining by Billot, Benjamin, Greve, Douglas N., Puonti, Oula, Thielscher, Axel, Van Leemput, Koen, Fischl, Bruce, Dalca, Adrian V., Iglesias, Juan Eugenio

“…Despite advances in data augmentation and transfer learning, convolutional neural networks (CNNs) difficultly generalise to unseen domains. When segmenting…”
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SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images by Hoffmann, Malte, Billot, Benjamin, Greve, Douglas N., Iglesias, Juan Eugenio, Fischl, Bruce, Dalca, Adrian V.

“…We introduce a strategy for learning image registration without acquired imaging data, producing powerful networks agnostic to contrast introduced by magnetic…”
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Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation by Zhao, Amy, Balakrishnan, Guha, Durand, Fredo, Guttag, John V., Dalca, Adrian V.

“…Image segmentation is an important task in many medical applications. Methods based on convolutional neural networks attain state-of-the-art accuracy; however,…”
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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning by Hering, Alessa, Hansen, Lasse, Mok, Tony C. W., Chung, Albert C. S., Siebert, Hanna, Hager, Stephanie, Lange, Annkristin, Kuckertz, Sven, Heldmann, Stefan, Shao, Wei, Vesal, Sulaiman, Rusu, Mirabela, Sonn, Geoffrey, Estienne, Theo, Vakalopoulou, Maria, Han, Luyi, Huang, Yunzhi, Yap, Pew-Thian, Brudfors, Mikael, Balbastre, Yael, Joutard, Samuel, Modat, Marc, Lifshitz, Gal, Raviv, Dan, Lv, Jinxin, Li, Qiang, Jaouen, Vincent, Visvikis, Dimitris, Fourcade, Constance, Rubeaux, Mathieu, Pan, Wentao, Xu, Zhe, Jian, Bailiang, De Benetti, Francesca, Wodzinski, Marek, Gunnarsson, Niklas, Sjolund, Jens, Grzech, Daniel, Qiu, Huaqi, Li, Zeju, Thorley, Alexander, Duan, Jinming, Grosbrohmer, Christoph, Hoopes, Andrew, Reinertsen, Ingerid, Xiao, Yiming, Landman, Bennett, Huo, Yuankai, Murphy, Keelin, Lessmann, Nikolas, van Ginneken, Bram, Dalca, Adrian V., Heinrich, Mattias P.

“…Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have…”
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Supervision by Denoising by Young, Sean I., Dalca, Adrian V., Ferrante, Enzo, Golland, Polina, Metzler, Christopher A., Fischl, Bruce, Iglesias, Juan Eugenio

“…Learning-based image reconstruction models, such as those based on the U-Net, require a large set of labeled images if good generalization is to be guaranteed…”
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