In Exiled Home, Susan Bibler Coutin recounts the experiences of Salvadoran children who migrated with their families to the United States during the 1980-1992 civil war. Because of their youth and the violence they left behind, as well as their uncertain legal status in the United States, many grew up with distant memories of El Salvador and a profound sense of disjuncture in their adopted homeland. Through interviews in both countries, Coutin examines how they sought to understand and overcome the trauma of war and displacement through such strategies as recording community histories, advocating for undocumented immigrants, forging new relationships with the Salvadoran state, and, for those deported from the United States, reconstructing their lives in El Salvador. In focusing on the case of Salvadoran youth, Coutin's nuanced analysis shows how the violence associated with migration can be countered through practices that recuperate historical memory while also reclaiming national membership.

The 2012 Deferred Action for Childhood Arrivals (DACA) program was supposed to be a stepping stone, a policy innovation announced by the White House designed to put pressure on Congress for a broader, lasting set of legislative changes. Those changes never materialized, and the people who hoped to benefit from them have been forced to navigate a tense and contradictory policy landscape ever since, haunted by these unfulfilled promises. Legal Phantoms tells their story. After Congress failed to pass a comprehensive immigration bill in 2013, President Obama pivoted in 2014 to supplementing DACA with a deferred action program (known as DAPA) for the parents of citizens and lawful permanent residents and a DACA expansion (DACA+) in 2014. But challenges from Republican-led states prevented even these programs from going into effect. Interviews with would-be applicants, immigrant-rights advocates, and government officials reveal how such failed immigration-reform efforts continue to affect not only those who had hoped to benefit, but their families, communities, and the country in which they have made an uneasy home. Out of the ashes of these lost dreams, though, people find their own paths forward through uncharted legal territory with creativity and resistance.

The 2012 Deferred Action for Childhood Arrivals (DACA) program was supposed to be a stepping stone, a policy innovation announced by the White House designed to put pressure on Congress for a broader, lasting set of legislative changes. Those changes never materialized, and the people who hoped to benefit from them have been forced to navigate a tense and contradictory policy landscape ever since, haunted by these unfulfilled promises. Legal Phantoms tells their story. After Congress failed to pass a comprehensive immigration bill in 2013, President Obama pivoted in 2014 to supplementing DACA with a deferred action program (known as DAPA) for the parents of citizens and lawful permanent residents and a DACA expansion (DACA+) in 2014. But challenges from Republican-led states prevented even these programs from going into effect. Interviews with would-be applicants, immigrant-rights advocates, and government officials reveal how such failed immigration-reform efforts continue to affect not only those who had hoped to benefit, but their families, communities, and the country in which they have made an uneasy home. Out of the ashes of these lost dreams, though, people find their own paths forward through uncharted legal territory with creativity and resistance.

This book constitutes the thoroughly refereed conference proceedings of the 6th International Symposium on Biomedical Simulation (ISBMS) which was held in Strasbourg, France, in October 2014. Biomedical modeling and simulation are at the center stage of worldwide efforts to understand and replicate the behavior and function of the human organism. Large scale initiatives such as the Physiome Project, Virtual Physiological Human and Blue Brain Project aim to develop advanced computational models that will facilitate the understanding of the integrative function of cells, organs, and organisms, with the ultimate goal of delivering truly personalized medicine. At the same time, progress in modeling, numerical techniques and haptics has enabled more complex and interactive simulations. The 27 revised full papers (including 16 regular and 11 short papers) were carefully selected from 45 submissions and cover topics such as training systems and haptics, physics-based registration, vascular modeling and simulation, image and simulation, modeling, surgical planning, analysis, characterization and validation.

In this text atlas of neuroimaging the author provides a review of the pathologies and diseases that affect the head, brain, skull base, face, spine, and cord. The case presentation format of this handbook covers the important clinical and neuropathological aspects of the disease process. The book contains 350 selected pathologies, represented in 750 high resolution MR images. It also covers the aspects of neurological disorders and the fundamental aspects of the physics of magnetic resonance, spectroscopy, as well as a review of MR techniques. Given its scope, this book is of interest to radiologists involved in MR interpretation, neuroradiologists seeking an up-to-date review, and all workers in the field of diagnostic and therapeutic neurology.

To celebrate its 5th edition, the International Symposium on Biomedical S- ulation (ISBMS) was organized in conjunction with the International Meeting on Simulation in Healthcare (IMSH). IMSH is the premier simulation in heal- care meeting and largestsingle gathering of clinicians, educators, administrators and other simulation stakeholders. This unique link-up aimed at bringing - gether simulation users with those involved in its scienti?c and technological developments in order to foster closer interaction. The joint meeting was held in Phoenix, Arizona during January 23-24, 2010. Biomedical modeling and simulation are at the center stage of worldwide e?orts to understand and replicate the behavior and function of the human organism. The Physiome Project and Virtual Physiological Human (VPH) i- tiative aim to develop advanced computational models that will facilitate the understanding of the integrative function of cells, organs, and organisms, with the ultimate goal of delivering truly personalized medicine. At the same time, progressinreal-timebiomedicalmodeling andsimulationhasenabledmorec- plex, interactive simulations, o?ering the possibility of highly sophisticated task trainers, proceduralandpatientsimulatorsto supportmedicaltrainingandsafer clinical practice. It is in this contextthat ISBMS seeks to act as an international forum for researchers in this increasingly important area to share their latest work, discuss future trends and forge new collaboration

This book contains the written contributions to the International Symposium on th Medical Simulation (ISMS'04) held in Cambridge, Massachusetts, USA on June 17 th and June 18 , 2004. Manuscripts are organized around five thematic sections relating to the multidisciplinary field of Medical Simulation: Soft Tissue Properties and Modeling, Haptic Rendering, Real-Time Deformable Models, Anatomical Modeling, and Development Frameworks. The objectives of the symposium are to gather researchers to present their most recent, and promising work, to highlight research trends and foster dialogue and debates among participants. Live demonstrations are also included at the meeting, but cannot be included in this volume. Finally, to address questions about areas for improvement and future directions of the field, we organized a panel of experts including technical, medical and educational representatives. This event continues the successful symposium organized by Herve Delingette and Nicholas Ayache, in France in June 2003. At that meeting we agreed that it would be beneficial for the community to have an annual gathering for the medical simulation community where researchers can exchange ideas and share their work in this emerging field. ISMS'04 is co-organized by CIMIT / Harvard Medical School and Rutgers University.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

Documenting Impossible Realities explores the limitations of conventional accounts through which belonging is documented, focusing on the experiences of adoptees, deportees, migrants, and other exilic populations. Susan Bibler Coutin and Barbara Yngvesson speak to the current historical moment in which the dichotomy between an "above ground" inhabited by dominant groups and an "underground" to which unauthorized immigrants, political exiles, and transnational adoptees are relegated cannot be sustained. This dichotomy was made possible by the illusion that some people do not belong, that some forms of kin are not real, or that certain ways of knowing do not count. To examine accounts that challenge such illusions, Coutin and Yngvesson focus on the spaces between groups, where difference is constituted and where the potential for new forms of relationship may be realized. By juxtaposing and moving between entangled realities and modes of expression, Documenting Impossible Realities conveys the emotional experience of oscillating between being here and gone, legitimate and treated as counterfeit.

This book constitutes the proceedings of the 4th International Conference on Information Processing in Computer-Assisted Interventions IPCAI 2013, held in Heidelberg, Germany, on June 26, 2013. The 11 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections on simulation, neurosurgical interventions, ultrasound guided interventions, and image guided interventions.

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.

In Exiled Home, Susan Bibler Coutin recounts the experiences of Salvadoran children who migrated with their families to the United States during the 1980-1992 civil war. Because of their youth and the violence they left behind, as well as their uncertain legal status in the United States, many grew up with distant memories of El Salvador and a profound sense of disjuncture in their adopted homeland. Through interviews in both countries, Coutin examines how they sought to understand and overcome the trauma of war and displacement through such strategies as recording community histories, advocating for undocumented immigrants, forging new relationships with the Salvadoran state, and, for those deported from the United States, reconstructing their lives in El Salvador. In focusing on the case of Salvadoran youth, Coutin's nuanced analysis shows how the violence associated with migration can be countered through practices that recuperate historical memory while also reclaiming national membership.

"Your son has learning difficulties." This, we were told when our son, Robin, was 2 1/2 years old. The book describes our experiences, good and bad, all through his childhood and into adulthood. How his behaviour varied from his siblings', how friends and family reacted. And about what we accomplished and where we failed. The idea of writing this book was that it might be useful for parents in the same situation we faced fifty years ago. We, my wife, Jane, and I benefitted by meeting and learning from the experiences of other parents. So, here it is. I sincerely hope it will help you in some way in the tremendous task you may be facing.